CN107346553A - The determination method and apparatus of stripe information in a kind of image - Google Patents

The determination method and apparatus of stripe information in a kind of image Download PDF

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Publication number
CN107346553A
CN107346553A CN201610296958.9A CN201610296958A CN107346553A CN 107346553 A CN107346553 A CN 107346553A CN 201610296958 A CN201610296958 A CN 201610296958A CN 107346553 A CN107346553 A CN 107346553A
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stripe
image
color
component image
determined
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王轼
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Shenzhen Super Technology Co Ltd
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Shenzhen Super Perfect Optics Ltd
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Priority to CN201610296958.9A priority Critical patent/CN107346553A/en
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    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B30/00Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images
    • G02B30/20Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images by providing first and second parallax images to an observer's left and right eyes
    • G02B30/26Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images by providing first and second parallax images to an observer's left and right eyes of the autostereoscopic type
    • G02B30/27Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images by providing first and second parallax images to an observer's left and right eyes of the autostereoscopic type involving lenticular arrays

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Image Analysis (AREA)

Abstract

The embodiment of the present invention discloses a kind of determination method of stripe information in image, is related to display technology field, more can accurately obtain the stripe information in image.Methods described includes:The first image is obtained, described first image includes stripe pattern;The stripe pattern is extracted from described first image;The stripe pattern is converted into tone saturation degree lightness HSV images, and isolates chrominance component image;The stripe direction in the chrominance component image is determined, according to the stripe direction of the determination, determines the central point of the first color stripe in the chrominance component image;Belong to the central point of the color stripe of same first;According to the central point for ranging the color stripe of same first, fitting a straight line is carried out;According to the striped linear equation after the fitting, the stripe information of stripe pattern described in described first image is determined.The present invention can be used for bore hole 3D display technology.

Description

The determination method and apparatus of stripe information in a kind of image
Technical field
The present invention relates to a kind of determination method of stripe information in stereo display technique field, more particularly to image And device.
Background technology
People generally watch object simultaneously by eyes, due to eye spacing, right and left eyes between the eyes of people be present Between be about separated by 65mm, therefore, the gaze angle of eyes is different when watching object, causes right and left eyes to connect There is a certain degree of difference in the visual pattern received, because the visual pattern that right and left eyes receive is different, greatly The information that brain combines right and left eyes two images is overlapped to image and lived again so that beholder produce it is three-dimensional Sense.At present, bore hole 3D (3-dimensional) display device of main flow is exactly using above-mentioned principle, by commonly showing Show and special grating is superimposed on device, the grating can be to different directions refraction image, and allow left eye and right eye can Separated depending on picture, so as to allow user to see 3D images.
Bore hole 3D equipment is when being shown, it is necessary to which left eye picture and right eye picture are arranged according to certain rule Row display over the display (i.e. row's figure), coordinates the light splitting of grating to act on, forms right and left eyes vision area, accomplish Left eye picture is sent into the left eye of user, right eye picture is sent into the right eye of user, so that user watches 3D images.Cooperated because row's figure must act on the light splitting of grating, therefore, grating parameter is row's figure The key parameter used needed for algorithm, that is, grating parameter is that bore hole 3D display equipment carries out imaging and shown Call parameter, directly decide the imaging effect of 3D display equipment.Specifically, grating parameter may include Grating inclination angle, grating pitch, grating place distance, grating relative to display screen displacement (also referred to as grating with The horizontal relative dislocation of display screen panel) etc..Influenceed by factors such as manufacturing process and rigging errors, grating ginseng Several actual values and ideal design value are normally present certain deviation, if directly carried out using design load Row's figure is shown, the adjustment for right and left eyes vision area for causing bore hole 3D display equipment is inaccurate, Jin Erying Ring the display effect of bore hole 3D display equipment.Therefore, in order to the aobvious of bore hole 3D display equipment is effectively ensured Show effect, before sales is dispatched from the factory, it is necessary to join to the grating of bore hole 3D display equipment in bore hole 3D display equipment Number is corrected, that is, need extremely accurate to obtain the grating parameter actual value of bore hole 3D display equipment so as to It is applied in row's nomography, ensures the stereo display effect of bore hole 3D display equipment.
In the prior art, it is generally pre- in order to be accurately obtained very much the grating parameter of bore hole 3D display equipment First set the span of the grating parameter of bore hole 3D display equipment, periodic transformation's grating parameter, from And utilize and arrange nomography periodic cycle display test pictures, the test pictures are usually striped picture, such as Red an IOU issued by a post office paints face, gathers these test pictures and carries out analysis calculating to these test pictures, according to test The stripe information of picture information such as the cycle of striped and angle of inclination and row's graph parameter, draw preferably Grating parameter, that is, more accurately grating parameter actual value is obtained, so that bore hole 3d display devices were using should Actual value is shown, ensures stereo display effect.
Due to needing to get the stripe information of striped test pictures and obtaining grating parameter using stripe information Actual value, therefore, the degree of accuracy of stripe information necessarily affects the degree of accuracy of grating parameter actual value, such as The stripe information what accurately gets test pictures is a urgent problem to be solved.
The content of the invention
Have in view of that, the embodiment of the present invention provides a kind of determination method and apparatus of stripe information in image, energy Enough stripe informations more accurately got in image.
In a first aspect, the embodiment of the present invention provides a kind of determination method of stripe information in image, including:
The first image is obtained, described first image includes the stripe pattern that the first equipment is generated and shown, institute Stating stripe pattern includes the first color stripe and the second color stripe of alternate setting;
The stripe pattern is extracted from described first image;
The stripe pattern is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate chrominance component image;
The stripe direction in the chrominance component image is determined, according to the stripe direction of the determination, scans institute Chrominance component image is stated, so that it is determined that going out the central point of the first color stripe in the chrominance component image;
The central point of first color stripe determined is clustered, same is belonged to so as to sort out The central point of first color stripe;
According to the central point for ranging the color stripe of same first, fitting a straight line is carried out, is fitted Striped linear equation afterwards;
According to the striped linear equation after the fitting, the bar of stripe pattern described in described first image is determined Line information, the stripe information include at least one of fringe period and striped slope.
With reference in a first aspect, in the first embodiment of first aspect, it is described by the stripe pattern from Extracted in described first image including:
Described first image is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate lightness component image;
According to the gray value of the pixel of the lightness component image, bar described in the lightness component image is determined The edge contour of print image;
The edge contour of stripe pattern, determines the stripe pattern according to the lightness component image Corner location;
According to the corner location of the determination, the stripe pattern is partitioned into from described first image.
It is described in second of embodiment of first aspect with reference to the first embodiment of first aspect The edge contour of stripe pattern according to the lightness component image, determine the angle point of the stripe pattern Position includes:
Fitting a straight line is carried out to the edge contour, obtains the linear equation on each bar side of the edge contour;
Structure and the solid background image of described first image same shape and size, and according to the straight of the side Line equation, the line segment on the side, the color of the line segment and the back of the body are drawn in the solid background image The color of scape is different;
According to the color of the line segment and the color of the background, the background image for having the line segment is drawn in scanning, So that it is determined that go out the intersection point of the line segment, wherein, in the neighborhood territory pixel point of the intersection point, at least two pairs are relative Neighborhood territory pixel point color value be the line segment color value;
According to the intersection point of the determination, the corner location of the stripe pattern is determined.
With reference to the first or second of embodiment of first aspect or first aspect, the of first aspect In three kinds of embodiments, it is described isolate chrominance component image from the HSV images after, it is described According to the stripe direction of the determination, the chrominance component image is scanned, so that it is determined that going out the chrominance component In image before the central point of the first color stripe, methods described also includes:
According to the stripe direction of the determination, at least one-row pixels point for choosing the chrominance component image is carried out Scanning, it is determined that the central point of the first color stripe described at least one-row pixels point;
It is determined that gone together described at least one-row pixels point in the central point of the first color stripe it is adjacent in The distance between heart point;
According to the distance between adjacent central point of the colleague, the estimation width of the striped is determined;
According to the estimation width of the striped, it is determined that convolution kernel is filtered, and according to the filtering convolution kernel, to institute State chrominance component image and be filtered processing;
The stripe direction according to the determination, the chrominance component image is scanned, so that it is determined that going out described The central point of the first color stripe includes in chrominance component image:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so as to really Make the central point of the first color stripe in the chrominance component image.
It is described in the 4th kind of embodiment of first aspect with reference to the third embodiment of first aspect According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so that it is determined that going out The central point of the first color stripe includes in the chrominance component image:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, searches institute State the absolute of tone value and the tone value of first color in the first color stripe in chrominance component image The minimum pixel of difference, and it is minimum from the absolute difference of the tone value and the tone value of first color Pixel in filter out datum mark;
Search corresponding to the datum mark the absolute of tone value and the tone value of the datum mark in presumptive area Difference is less than the pixel of predetermined threshold value;
According to the position coordinates of the datum mark, and the tone value and the tone value of the datum mark is absolute Difference is less than the position coordinates of the pixel of predetermined threshold value, determines the first color bar in the chrominance component image The position coordinates of the central point of line.
It is described in the 5th kind of embodiment of first aspect with reference to the 4th kind of embodiment of first aspect The central point of first color stripe determined is clustered, same first is belonged to so as to sort out The central point of color stripe includes:
If two points in the central point determined while meeting following three condition, it is determined that this two Individual point belongs to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x be described two points abscissa difference, Δ y be described two points ordinate difference, f To be less than 1 preset constant more than 0, MaxLen is the estimation width.
With reference in a first aspect, in the 6th kind of embodiment of first aspect, it is described by the stripe pattern from It is described that the stripe pattern is converted into tone saturation degree lightness HSV after being extracted in described first image Image, and before isolating chrominance component image from the HSV images, methods described also includes:
Rotated and/or stretched processing to the stripe pattern extracted;
It is described the stripe pattern is converted into tone saturation degree lightness HSV images to include:
The stripe pattern after the flexible processing is converted into tone saturation degree lightness HSV images;
In the striped linear equation according to after the fitting, bar graph described in described first image is determined After the stripe information of picture, methods described also includes:
According to the rotation and/or flexible processing, reduction treatment is carried out to the stripe information of the determination, with The stripe information is set to match with original described first image.
Second aspect, the embodiment of the present invention provide a kind of determining device of stripe information in image, including:
Acquiring unit, for obtaining the first image, described first image includes the first equipment and generates and show Stripe pattern, the stripe pattern includes the first color stripe and the second color stripe of alternate setting;
Extraction unit, for the stripe pattern to be extracted from described first image;
Separative element, for the stripe pattern to be converted into tone saturation degree lightness HSV images, and from Chrominance component image is isolated in the HSV images;
First determining unit, for determining the stripe direction in the chrominance component image, according to the determination Stripe direction, the chrominance component image is scanned, so that it is determined that going out the first face in the chrominance component image The central point of vitta line;
Sort out unit, for being clustered to the central point of first color stripe determined, so as to return Class belongs to the central point of the color stripe of same first;
Fitting unit, for ranging the central point of the color stripe of same first according to, carry out straight line Fitting, the striped linear equation after being fitted;
Second determining unit, for according to the striped linear equation after the fitting, determining described first image Described in stripe pattern stripe information, the stripe information includes in fringe period and striped slope at least It is a kind of.
With reference to second aspect, in the first embodiment of second aspect, the extraction unit is specifically used for:
Described first image is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate lightness component image;
According to the gray value of the pixel of the lightness component image, bar described in the lightness component image is determined The edge contour of print image;
The edge contour of stripe pattern, determines the stripe pattern according to the lightness component image Corner location;
According to the corner location of the determination, the stripe pattern is partitioned into from described first image.
It is described in second of embodiment of second aspect with reference to the first embodiment of second aspect Extraction unit is specifically used for:
Fitting a straight line is carried out to the edge contour, obtains the linear equation on each bar side of the edge contour;
Structure and the solid background image of described first image same shape and size, and according to the straight of the side Line equation, the line segment on the side, the color of the line segment and the back of the body are drawn in the solid background image The color of scape is different;
According to the color of the line segment and the color of the background, the background image for having the line segment is drawn in scanning, So that it is determined that go out the intersection point of the line segment, wherein, in the neighborhood territory pixel point of the intersection point, at least two pairs are relative Neighborhood territory pixel point color value be the line segment color value;
According to the intersection point of the determination, the corner location of the stripe pattern is determined.
With reference to the first or second of embodiment of second aspect or first aspect, the of second aspect In three kinds of embodiments:
Described device also includes filter unit, is used for:
According to the stripe direction of the determination, at least one-row pixels point for choosing the chrominance component image is carried out Scanning, it is determined that the central point of the first color stripe described at least one-row pixels point;
It is determined that gone together described at least one-row pixels point in the central point of the first color stripe it is adjacent in The distance between heart point;
According to the distance between adjacent central point of the colleague, the estimation width of the striped is determined;
According to the estimation width of the striped, it is determined that convolution kernel is filtered, and according to the filtering convolution kernel, to institute State chrominance component image and be filtered processing;
First determining unit is specifically used for:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so as to really Make the central point of the first color stripe in the chrominance component image.
It is described in the 4th kind of embodiment of second aspect with reference to the third embodiment of second aspect First determining unit is specifically used for:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, searches institute State the absolute of tone value and the tone value of first color in the first color stripe in chrominance component image The minimum pixel of difference, and it is minimum from the absolute difference of the tone value and the tone value of first color Pixel in filter out datum mark;
Search corresponding to the datum mark the absolute of tone value and the tone value of the datum mark in presumptive area Difference is less than the pixel of predetermined threshold value;
According to the position coordinates of the datum mark, and the tone value and the tone value of the datum mark is absolute Difference is less than the position coordinates of the pixel of predetermined threshold value, determines the first color bar in the chrominance component image The position coordinates of the central point of line.
It is described in the 5th kind of embodiment of second aspect with reference to the 4th kind of embodiment of second aspect Sort out unit to be specifically used for:
If two points in the central point determined while meeting following three condition, it is determined that this two Individual point belongs to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x be described two points abscissa difference, Δ y be described two points ordinate difference, f To be less than 1 preset constant more than 0, MaxLen is the estimation width.
With reference to second aspect, in the 6th kind of embodiment of second aspect:
Described device also includes rotary extension unit, for being rotated to the stripe pattern extracted And/or flexible processing;
The separative element is specifically used for:
The stripe pattern after the flexible processing is converted into tone saturation degree lightness HSV images;
The rotary extension unit is additionally operable to:
According to the rotation and/or flexible processing, reduction treatment is carried out to the stripe information of the determination, with The stripe information is set to match with original described first image.
The determination method and apparatus of stripe information in image provided in an embodiment of the present invention, will from the first image Stripe pattern extracts, and then using the chrominance component image of stripe pattern, determines stripe pattern first The central point of color stripe, fitting a straight line is carried out using central point, and then obtains the stripe information of stripe pattern, It more can accurately get the stripe information in the first image.
Brief description of the drawings
Fig. 1 is the flow chart of the determination method of stripe information in a kind of image provided in an embodiment of the present invention;
Fig. 2 is the illustrative diagram of the first image in method shown in Fig. 1;
Fig. 3 is the effect diagram after edge contour detection in method shown in Fig. 1;
The effect diagram of line segment is drawn during the angle point that edge contour is determined in Fig. 4 methods shown in Fig. 1;
Fig. 5 is pixel eight neighborhood schematic diagram in method shown in Fig. 1;
Fig. 6 is the effect diagram of the stripe pattern after rotary extension in method shown in Fig. 1;
Fig. 7 is the structural representation of the determining device of stripe information in a kind of image provided in an embodiment of the present invention Figure;
Fig. 8 is the structural representation of the determining device of stripe information in a kind of image provided in an embodiment of the present invention Figure;
Fig. 9 is the structural representation of the determining device of stripe information in a kind of image provided in an embodiment of the present invention Figure.
Embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with attached Figure and specific embodiment are described in detail.
As shown in figure 1, in a kind of image provided in an embodiment of the present invention stripe information determination method, specifically Flow includes:
Step 101, the first image is obtained, the first image includes the bar graph that the first equipment is generated and shown Picture, stripe pattern include the first color stripe and the second color stripe of alternate setting.
Firstly the need of explanation, information provided in an embodiment of the present invention determines that method can be held by the second equipment OK, in the method, the first equipment generates and shows stripe pattern, and the second equipment, which obtains, includes the striped First image of image, and determine the stripe information of stripe pattern in the first image.Specifically, the second equipment Can by image acquiring device, such as by camera shooting show stripe pattern the first equipment photograph Piece, so as to get the first image of stripe pattern for including the first equipment and generating and showing, stripe pattern Include the first color stripe and the second color stripe of alternate setting.
In practical application, the first equipment can be bore hole 3D display equipment, and it includes display screen and is arranged on Grating on display screen.First equipment can arrange the first face on a display screen according to certain row's nomography Color pixel and the second colored pixels, the light splitting of grating is coordinated to act on, so that the display device shows one Stripe pattern, wherein, the stripe pattern can be red an IOU issued by a post office print image, i.e. the first color stripe to be red and A kind of striped of color in green color stripe, and the second color stripe is the another kind in red and green color stripe The striped of color.Second equipment shoots the full face of the first equipment so as to obtaining the first image, it is preferred that In order to protrude stripe pattern, the first equipment can be placed in dark space, and be highlighted stripe pattern, so as to So that in the first image, stripe pattern can protrude presentation, and other parts are dark background.
For example, Fig. 2 shows the illustrative diagram of first image, as shown in Fig. 2 the figure Include stripe pattern in the middle part of picture.First image can consider to be made up of two parts, respectively stripe pattern And background.
Step 102, stripe pattern is extracted from the first image.
In order to obtain the stripe information of stripe pattern, it is necessary first to which stripe pattern is isolated from the first image Come.The embodiment of the present invention does not limit for how to extract stripe pattern from the first image, ability Field technique personnel can be by the way of any reasonable, for example, conventional stingy nomography in the prior art.
For example, optionally, in one embodiment of the invention, can be in the following way by striped Image extracts from the first image:
First, the first image is converted into tone saturation degree lightness HSV images, and from HSV images Isolate lightness component image hsv_v.
Then, according to the gray value of the pixel of lightness component image, stripe pattern in lightness component image is determined Edge contour.For example, specifically, as shown in Figure 2, in the first image, the profile of stripe pattern The pixel grey scale of outside (i.e. background) and inner side is different, therefore, can preset a threshold value, respectively from Left-to-right, hsv_v images are scanned from the top down, from right to left, from the bottom up, according to former and later two The gray scale difference of pixel is compared with presetting given threshold value, so that it is determined that going out the edge contour of stripe pattern Pixel (i.e. pixel point coordinates) set, edge contour detection design sketch can be found in Fig. 3.
It should be understood that after edge contour determines, it is understood that there may be some noise spots, these noise spots will influence The precision of subsequent treatment, therefore, processing can be further optimized, remove noise spot.Remove noise spot Method it is unlimited, those skilled in the art can be according to the common knowledge reasonable selection of this area.For example, For every a line of edge contour, fitting a straight line is carried out to the pixel point set (point set) on the side first, Then distance of the point all on the side to straight line will be calculated, distance is finally more than several times average distance Point is deleted from a concentration.
After edge contour is obtained, next, according to the edge contour of stripe pattern in lightness component image, Determine the corner location of stripe pattern.It should be understood that how the step specifically performs same unlimited, ability Field technique personnel can have multiple choices.Optionally, in order to be further ensured that operational precision, can use such as Under type:
Fitting a straight line is carried out to edge contour, for example, fitting a straight line is carried out to the point set of above-mentioned removal noise spot, Obtain the linear equation on each bar side of edge contour;Then, structure with the first image same shape and size (i.e. With hsv_v images same shape and size) solid background image, for example, background pure black image, and root According to the linear equation on side, the line segment on drafting side, the color of line segment and the color of background in solid background image Difference, line segment can be white, and background is black, and line segment is preferably extended over to whole image, after drawing line segment Design sketch can be found in Fig. 4.Because the color of line segment color and background is different, next, according to line segment The color of color and background, the background image for having line segment is drawn in scanning, so that it is determined that go out the intersection point of line segment, its In, in the neighborhood territory pixel point of intersection point, the color value of at least two pairs relative neighborhood territory pixel points is the color of line segment Value.Then according to the intersection point of determination, the corner location of stripe pattern is determined.Illustrate, can be from upper past Under, scan whole image from left to right, when running into for example white pixel of a line segment color, observation The pixel of its 8 neighborhood.Referring to Fig. 5, it is assumed that pixel 5 is the pixel of line segment colours white, at this In 8 neighborhood territory pixels 1 to 4,6 to 9 of pixel 5, in 1 and 9,2 and 8,4 and 7,4 and 6, Have at least that 2 pairs of pixels are all white point, then the white pixel point 5 is an angle point.
It is understood that identified four angle points are probably unordered, it is necessary to resequence.If striped Image is quadrangle, and 4 angle points should be upper left angle point, upper right angle point, bottom right angle point, lower-left angle point. So in identified four angle points, Transverse coordinates upper left angle point less than normal, lower-left angle point can be first looked for out, it is horizontal Coordinate larger upper right angle point and bottom right angle point, then carry out ordinate comparison again, you can four points of discharge Sequentially.
After angle point determination, next shaping can be split from the first image according to the corner location of determination Print image.
It should be noted that in actual implementation, stripe pattern is probably inclined, for example, bore hole 3D shows Show the possible fuselage of equipment and out of plumb, but there is certain angle of inclination with vertical direction, cause screen simultaneously Out of plumb, has certain inclination, and stripe pattern may have certain anglec of rotation.Moreover, for simplification Computing, lift operation efficiency, stripe pattern can also be carried out it is appropriate it is flexible after carry out follow-up processing again, Such as stripe pattern is reduced into certain proportion.Therefore, in one embodiment of the invention, can be to extracting The stripe pattern come is rotated and/or flexible processing, so as to by stripe pattern be stretched to a suitable size and Keep positive stripe pattern.Specifically, primative streak image may refer to Fig. 2, the bar after rotary extension Print image may refer to Fig. 6.
Step 103, stripe pattern is converted into tone saturation degree lightness HSV images, and from HSV images In isolate chrominance component image hsv_h.
Obviously, HSV images are converted the image into, and isolates chrominance component from HSV images, satisfy It is routine techniques with degree component and transparency component image, the present invention is not being repeated this.
Step 104, the stripe direction in chrominance component image is determined, according to the stripe direction of determination, scanning Chrominance component image, so that it is determined that going out the central point of the first color stripe in tone component image.
Stripe direction in stripe pattern may be vertically oriented, it is also possible to horizontal direction, in order to simplify fortune Calculate, lifting operation efficiency is pre-processed, roughly really first to find central point in the embodiment of the present invention The stripe direction in stripe pattern is fixed, then according to identified stripe direction, is scanned to obtain center Point.Specifically, can first enter row threshold division (binary conversion treatment) to chrominance component image, then utilize Known Hough Hough transform carries out straight-line detection to the image of binaryzation, is estimated according to the straight line of detection Determine stripe direction in the inclination angle of straight line.
, optionally, can be according to the stripe direction of determination, you can it is determined that scanning side after stripe direction is determined To, for example, striped is horizontal stripe, then scanning direction is vertical direction, if striped is vertical striped, Scanning direction is horizontal direction, scans chrominance component image according to the scanning direction of determination, searches the tone The absolute difference of tone value and the tone value of first color is (i.e. poor in the first color stripe in component image The absolute value of value) minimum pixel, and filter out datum mark from these pixels.Next, search The absolute difference of tone value and the tone value of the datum mark is less than in presumptive area corresponding to the datum mark The pixel of predetermined threshold value.Then, according to the position coordinates of the datum mark, and the tone value with it is described The absolute difference of the tone value of datum mark is less than the position coordinates of the pixel of predetermined threshold value, determines the tone The position coordinates of the central point of first color stripe in component image.Wherein, presumptive area corresponding to datum mark It is pre-set, for example, centered on datum mark, the region of each 10 pixels in left and right.
Generally, the central distribution of the first color stripe the pixel closest to the first color, and along Center is to the first color stripe both sides, and the color of pixel is more and more far away from the first color.Based on this, search The absolute difference of tone value and the tone value of the first color is minimum in the first color stripe in chrominance component image Pixel, generally these point positioned at the first color stripe center, but it is understood that, due to color Color distortion and scanning accuracy etc. limit, it is possible to can find some inaccurate noise spots, therefore, pin To first color stripe, the absolute of some tone values and the tone value of first color may be found The minimum pixel of difference in these points found, it is necessary to carry out lower screening, removal noise spot, so as to sieve Select the datum mark positioned at fringe center.Specific screening process, for example, in the pixel found, Determine that the tone value of the pixel of the pixel both sides preset range on scanning direction changes in one direction Point on the basis of the point of (gradually increaseing or decreasing), and remove on scanning direction at least one in the pixel both sides The pixel of the tone value fluctuations of the pixel of the preset range of side.
So that stripe pattern is red an IOU issued by a post office print image as an example, pure red corresponding hue angle is 0 degree, can scan picture Plain color tone pitch, find tone value and the pixel (datum mark) of 0 absolute difference minimum, such as 3 degree Pixel, the pixel is closely red, is pixel most red in striped, is usually located at red streak Core.For a red streak, some 3 degree of pixels may be found, therefore, be at this Datum mark is determined in a little 3 degree of pixels.Next, due in the stripe pattern in the first image it is red not Must be pure red, so also to set a rational deviation, i.e., a default threshold value, the threshold value is for example Can be 5, it is assumed that datum mark tone value is 3, along scanning direction by the pixel point range of datum mark both sides 20 Interior tone value is found out with 3 difference less than 5 pixel.According to these points and benchmark found out Point, X, the Y-coordinate average of these points and datum mark are calculated, the average is defined as red streak central point Position coordinates.
Explanation is needed further exist for, in order to which the precision of processing, and simplified operation is effectively ensured, lifts computing Efficiency is to find central point, after chrominance component image is isolated from HSV images, according to determination Stripe direction, chrominance component image is scanned, so that it is determined that going out in tone component image in the first color stripe Before heart point, processing can be first filtered to chrominance component image, row's impurity point interference, then, is being filtered The first color stripe central point is determined in chrominance component image after processing.Specifically, it can carry out in advance thick Approximation is calculated and estimates a filtering convolution kernel, and then according to the filtering convolution kernel, chrominance component image is filtered Processing.For example, at least a line picture of chrominance component image can according to the stripe direction of determination, be chosen Vegetarian refreshments is scanned, it is determined that at least in a line (can be a line) pixel the first color stripe central point, Such as the minimum or maximum point of tone value is found, then, it is determined that the first color stripe at least in one-row pixels point Central point in go together the distance between adjacent central point, according to the distance between adjacent central point of going together, The estimation width of striped is determined, according to the estimation width of striped, it is determined that filtering convolution kernel.
Step 105, the central point of the first color stripe to determining clusters, and is belonged to so as to sort out The central point of the color stripe of same first.
In order to which operational precision is effectively ensured, since it is determined that the central point come is not necessarily continuously, therefore this These points are clustered in step, them is revert on respective streak line.
In one embodiment of the invention, in this step, if it is determined that two points in the central point gone out are same When meet following three condition, it is determined that the two point belong to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x is the difference of the abscissa of two points, and Δ y is the difference of the ordinate of two points, and f is more than 0 Preset constant less than 1, MaxLe are the estimation width of striped, when foregoing calculating filters convolution kernel, The determination mode of estimation width is described, is repeated no more here.
Step 106, according to the central point for ranging the color stripe of same first, fitting a straight line is carried out, is obtained Striped linear equation after fitting.
Fitting a straight line can use existing conventional method, such as least square method, no longer do here specifically It is bright.In order to which the efficiency of calculating is effectively ensured, and error is reduced, can be in the color stripe of same first Some points that striped interlude is chosen in central point are fitted, such as 100 points of interlude.
Step 107, according to the striped linear equation after fitting, the striped of stripe pattern in the first image is determined Information, stripe information include at least one of fringe period and striped slope.
Specifically, according to the striped linear equation after fitting, the slope of each striped straight line can be obtained, can be asked Go out the average value of the slope of each striped straight line, as the striped slope in stripe information.
And for fringe period, can by being fitted obtained linear equation above, try to achieve some rows (if or Dry row) the institute on striped a little, the cycle size of striped is then calculated according to these points.For example, Several y-coordinates are set, that is, take some rows of image, corresponding striped is tried to achieve by the linear equation after fitting X coordinate on straight line, thus a series of coordinate points can be obtained.Next, pass through a series of coordinate points In adjacent two x coordinate xi, xi+1Distance can easily draw adjacent the first color stripe or the second color The step-length of striped, the step-length of all consecutive points of some rows can be calculated according to this.Then all step-lengths are asked Value obtained by average is fringe period.
Explanation is needed further exist for, if after stripe pattern is extracted from the first image, by bar Print image is converted to tone saturation degree lightness HSV images, and chrominance component figure is isolated from HSV images As before, the stripe pattern extracted is rotated and/or flexible processing, in this case, it is necessary to according to Rotation and/or flexible processing, pair stripe information determined carry out reduction treatment, it is necessary to the fringe period that will be obtained With the anglec of rotation relation and/or scaling relation of striped slope image according to before and after, original image is reverted to Size so that stripe information matches with the first original image.
The determination method of stripe information in image provided in an embodiment of the present invention, by bar graph from the first image As extracting, then using the chrominance component image of stripe pattern, the color bar of stripe pattern first is determined The central point of line, fitting a straight line is carried out using central point, and then obtain the stripe information of stripe pattern, can More accurately get the stripe information in the first image.
Corresponding with preceding method embodiment, the embodiment of the present invention also provides in a kind of image stripe information really Determine device, as shown in fig. 7, comprises:
Acquiring unit 10, for obtaining the first image, described first image includes the generation of the first equipment simultaneously The stripe pattern of display, the stripe pattern include the first color stripe and the second color bar of alternate setting Line;
Extraction unit 11, for the stripe pattern to be extracted from described first image;
Separative element 12, for the stripe pattern to be converted into tone saturation degree lightness HSV images, and Chrominance component image is isolated from the HSV images;
First determining unit 13, for determining the stripe direction in the chrominance component image, according to described The stripe direction of determination, the chrominance component image is scanned, so that it is determined that going out in the chrominance component image The central point of one color stripe;
Sort out unit 14, for being clustered to the central point of first color stripe determined, from And belong to the central point of the color stripe of same first;
Fitting unit 15, for ranging the central point of the color stripe of same first according to, carry out Fitting a straight line, the striped linear equation after being fitted;
Second determining unit 16, for according to the striped linear equation after the fitting, determining described first The stripe information of stripe pattern described in image, the stripe information are included in fringe period and striped slope It is at least one.
The determination method of stripe information in image provided in an embodiment of the present invention, by bar graph from the first image As extracting, then using the chrominance component image of stripe pattern, the color of stripe pattern first is determined The central point of striped, fitting a straight line is carried out using central point, and then obtain the stripe information of stripe pattern, energy Enough stripe informations more accurately got in the first image.
Optionally, in one embodiment of the invention, extraction unit 11 is specifically used for:
Described first image is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate lightness component image;
According to the gray value of the pixel of the lightness component image, bar described in the lightness component image is determined The edge contour of print image;
The edge contour of stripe pattern, determines the stripe pattern according to the lightness component image Corner location;
According to the corner location of the determination, the stripe pattern is partitioned into from described first image.
Optionally, in one embodiment of the invention, extraction unit 11 is specifically used for:
Fitting a straight line is carried out to the edge contour, obtains the linear equation on each bar side of the edge contour;
Structure and the solid background image of described first image same shape and size, and according to the straight of the side Line equation, the line segment on the side, the color of the line segment and the back of the body are drawn in the solid background image The color of scape is different;
According to the color of the line segment and the color of the background, the background image for having the line segment is drawn in scanning, So that it is determined that go out the intersection point of the line segment, wherein, in the neighborhood territory pixel point of the intersection point, at least two pairs are relative Neighborhood territory pixel point color value be the line segment color value;
According to the intersection point of the determination, the corner location of the stripe pattern is determined.
Optionally, in one embodiment of the invention, as shown in figure 8, described device also includes filtering list Member 17, is used for:
According to the stripe direction of the determination, at least one-row pixels point for choosing the chrominance component image is carried out Scanning, it is determined that the central point of the first color stripe described at least one-row pixels point;
It is determined that gone together described at least one-row pixels point in the central point of the first color stripe it is adjacent in The distance between heart point;
According to the distance between adjacent central point of the colleague, the estimation width of the striped is determined;
According to the estimation width of the striped, it is determined that convolution kernel is filtered, and according to the filtering convolution kernel, to institute State chrominance component image and be filtered processing;
Then, the first determining unit 13 is specifically used for:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so as to really Make the central point of the first color stripe in the chrominance component image.
Optionally, in one embodiment of the invention, the first determining unit 13 is specifically used for:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, searches institute State the absolute of tone value and the tone value of first color in the first color stripe in chrominance component image The minimum pixel of difference, and it is minimum from the absolute difference of the tone value and the tone value of first color Pixel in filter out datum mark;
Search corresponding to the datum mark the absolute of tone value and the tone value of the datum mark in presumptive area Difference is less than the pixel of predetermined threshold value;
According to the position coordinates of the datum mark, and the tone value and the tone value of the datum mark is absolute Difference is less than the position coordinates of the pixel of predetermined threshold value, determines the first color bar in the chrominance component image The position coordinates of the central point of line.
Optionally, in one embodiment of the invention, sort out unit 14 to be specifically used for:
If two points in the central point determined while meeting following three condition, it is determined that this two Individual point belongs to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x be described two points abscissa difference, Δ y be described two points ordinate difference, f To be less than 1 preset constant more than 0, MaxLen is the estimation width.
Optionally, in one embodiment of the invention, as shown in figure 9, described device is also stretched including rotation Contracting unit 18, for the processing that rotated and/or stretched to the stripe pattern extracted;
Then, separative element 12 is specifically used for:
The stripe pattern after the flexible processing is converted into tone saturation degree lightness HSV images;
Rotary extension unit 18 is additionally operable to:
According to the rotation and/or flexible processing, reduction treatment is carried out to the stripe information of the determination, with The stripe information is set to match with original described first image.
The present invention is produced with reference to method according to embodiments of the present invention, equipment (system) and computer program The flow chart and/or block diagram of product describes.It should be understood that can by computer program instructions implementation process figure and / or each flow in block diagram and/or square frame and flow in flow chart and/or block diagram and/ Or the combination of square frame.These computer program instructions can be provided to all-purpose computer, special-purpose computer, insertion Formula processor or the processor of other programmable data processing devices are to produce a machine so that pass through calculating The instruction of the computing device of machine or other programmable data processing devices is produced for realizing in flow chart one The device for the function of being specified in individual flow or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable datas to handle and set In the standby computer-readable memory to work in a specific way so that be stored in the computer-readable memory Instruction produce and include the manufacture of command device, command device realization is in one flow or multiple of flow chart The function of being specified in one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices, made Obtain and series of operation steps is performed on computer or other programmable devices to produce computer implemented place Reason, so as to which the instruction that is performed on computer or other programmable devices is provided for realizing in flow chart one The step of function of being specified in flow or multiple flows and/or one square frame of block diagram or multiple square frames.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know base This creative concept, then other change and modification can be made to these embodiments.So appended right will Ask and be intended to be construed to include preferred embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out various changes and modification without departing from this hair to the present invention Bright spirit and scope.So, if the present invention these modifications and variations belong to the claims in the present invention and Within the scope of its equivalent technologies, then the present invention is also intended to comprising including these changes and modification.

Claims (14)

1. a kind of determination method of stripe information in image, it is characterised in that including:
The first image is obtained, described first image includes the stripe pattern that the first equipment is generated and shown, institute Stating stripe pattern includes the first color stripe and the second color stripe of alternate setting;
The stripe pattern is extracted from described first image;
The stripe pattern is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate chrominance component image;
The stripe direction in the chrominance component image is determined, according to the stripe direction of the determination, scans institute Chrominance component image is stated, so that it is determined that going out the central point of the first color stripe in the chrominance component image;
The central point of first color stripe determined is clustered, same is belonged to so as to sort out The central point of first color stripe;
According to the central point for ranging the color stripe of same first, fitting a straight line is carried out, is fitted Striped linear equation afterwards;
According to the striped linear equation after the fitting, the bar of stripe pattern described in described first image is determined Line information, the stripe information include at least one of fringe period and striped slope.
2. the method as described in claim 1, it is characterised in that it is described by the stripe pattern from described Extracted in first image including:
Described first image is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate lightness component image;
According to the gray value of the pixel of the lightness component image, bar described in the lightness component image is determined The edge contour of print image;
The edge contour of stripe pattern, determines the stripe pattern according to the lightness component image Corner location;
According to the corner location of the determination, the stripe pattern is partitioned into from described first image.
3. method as claimed in claim 2, it is characterised in that
The edge contour of the stripe pattern according to the lightness component image, determines the bar graph The corner location of picture includes:
Fitting a straight line is carried out to the edge contour, obtains the linear equation on each bar side of the edge contour;
Structure and the solid background image of described first image same shape and size, and according to the straight of the side Line equation, the line segment on the side, the color of the line segment and the back of the body are drawn in the solid background image The color of scape is different;
According to the color of the line segment and the color of the background, the background image for having the line segment is drawn in scanning, So that it is determined that go out the intersection point of the line segment, wherein, the color value of the intersection point is the color value of the line segment, And in the neighborhood territory pixel point of the intersection point, the color value of at least two pairs relative neighborhood territory pixel points is the line segment Color value;
According to the intersection point of the determination, the corner location of the stripe pattern is determined.
4. the method as described in any one of claims 1 to 3, it is characterised in that described from the HSV After chrominance component image is isolated in image, the stripe direction according to the determination, the color is scanned Component image is adjusted, so that it is determined that going out in the chrominance component image before the central point of the first color stripe, institute Stating method also includes:
According to the stripe direction of the determination, at least one-row pixels point for choosing the chrominance component image is carried out Scanning, it is determined that the central point of the first color stripe described at least one-row pixels point;
It is determined that gone together described at least one-row pixels point in the central point of the first color stripe it is adjacent in The distance between heart point;
According to the distance between adjacent central point of the colleague, the estimation width of the striped is determined;
According to the estimation width of the striped, it is determined that convolution kernel is filtered, and according to the filtering convolution kernel, to institute State chrominance component image and be filtered processing;
The stripe direction according to the determination, the chrominance component image is scanned, so that it is determined that going out described The central point of the first color stripe includes in chrominance component image:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so as to really Make the central point of the first color stripe in the chrominance component image.
5. method as claimed in claim 4, it is characterised in that the striped side according to the determination To the chrominance component image after the filtering process being scanned, so that it is determined that going out in the chrominance component image The central point of one color stripe includes:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, searches institute State the absolute of tone value and the tone value of first color in the first color stripe in chrominance component image The minimum pixel of difference, and it is minimum from the absolute difference of the tone value and the tone value of first color Pixel in filter out datum mark;
Search corresponding to the datum mark the absolute of tone value and the tone value of the datum mark in presumptive area Difference is less than the pixel of predetermined threshold value;
According to the position coordinates of the datum mark, and the tone value and the tone value of the datum mark is absolute Difference is less than the position coordinates of the pixel of predetermined threshold value, determines the first color bar in the chrominance component image The position coordinates of the central point of line.
6. method as claimed in claim 4, it is characterised in that described to first face determined The central point of vitta line is clustered, and is belonged to the central point of the color stripe of same first so as to sort out and is included:
If two points in the central point determined while meeting following three condition, it is determined that this two Individual point belongs to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x be described two points abscissa difference, Δ y be described two points ordinate difference, f To be less than 1 preset constant more than 0, MaxLen is the estimation width.
7. the method as described in claim 1, it is characterised in that it is described by the stripe pattern from described It is described that the stripe pattern is converted into tone saturation degree lightness HSV figures after being extracted in first image Picture, and before isolating chrominance component image from the HSV images, methods described also includes:
Rotated and/or stretched processing to the stripe pattern extracted;
It is described the stripe pattern is converted into tone saturation degree lightness HSV images to include:
The stripe pattern after the rotation and/or flexible processing is converted into tone saturation degree lightness HSV Image;
In the striped linear equation according to after the fitting, bar graph described in described first image is determined After the stripe information of picture, methods described also includes:
According to the rotation and/or flexible processing, reduction treatment is carried out to the stripe information of the determination, with The stripe information is set to match with original described first image.
A kind of 8. determining device of stripe information in image, it is characterised in that including:
Acquiring unit, for obtaining the first image, described first image includes the first equipment and generates and show Stripe pattern, the stripe pattern includes the first color stripe and the second color stripe of alternate setting;
Extraction unit, for the stripe pattern to be extracted from described first image;
Separative element, for the stripe pattern to be converted into tone saturation degree lightness HSV images, and from Chrominance component image is isolated in the HSV images;
First determining unit, for determining the stripe direction in the chrominance component image, according to the determination Stripe direction, the chrominance component image is scanned, so that it is determined that going out the first face in the chrominance component image The central point of vitta line;
Sort out unit, for being clustered to the central point of first color stripe determined, so as to return Class belongs to the central point of the color stripe of same first;
Fitting unit, for ranging the central point of the color stripe of same first according to, carry out straight line Fitting, the striped linear equation after being fitted;
Second determining unit, for according to the striped linear equation after the fitting, determining described first image Described in stripe pattern stripe information, the stripe information includes in fringe period and striped slope at least It is a kind of.
9. device as claimed in claim 8, it is characterised in that the extraction unit is specifically used for:
Described first image is converted into tone saturation degree lightness HSV images, and from the HSV images Isolate lightness component image;
According to the gray value of the pixel of the lightness component image, bar described in the lightness component image is determined The edge contour of print image;
The edge contour of stripe pattern, determines the stripe pattern according to the lightness component image Corner location;
According to the corner location of the determination, the stripe pattern is partitioned into from described first image.
10. device as claimed in claim 9, it is characterised in that
The extraction unit is specifically used for:
Fitting a straight line is carried out to the edge contour, obtains the linear equation on each bar side of the edge contour;
Structure and the solid background image of described first image same shape and size, and according to the straight of the side Line equation, the line segment on the side, the color of the line segment and the back of the body are drawn in the solid background image The color of scape is different;
According to the color of the line segment and the color of the background, the background image for having the line segment is drawn in scanning, So that it is determined that go out the intersection point of the line segment, wherein, in the neighborhood territory pixel point of the intersection point, at least two pairs are relative Neighborhood territory pixel point color value be the line segment color value;
According to the intersection point of the determination, the corner location of the stripe pattern is determined.
11. the device as described in any one of claim 8 to 10, it is characterised in that described device is also wrapped Filter unit is included, is used for:
According to the stripe direction of the determination, at least one-row pixels point for choosing the chrominance component image is carried out Scanning, it is determined that the central point of the first color stripe described at least one-row pixels point;
It is determined that gone together described at least one-row pixels point in the central point of the first color stripe it is adjacent in The distance between heart point;
According to the distance between adjacent central point of the colleague, the estimation width of the striped is determined;
According to the estimation width of the striped, it is determined that convolution kernel is filtered, and according to the filtering convolution kernel, to institute State chrominance component image and be filtered processing;
First determining unit is specifically used for:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, so as to really Make the central point of the first color stripe in the chrominance component image.
12. device as claimed in claim 11, it is characterised in that first determining unit is specifically used In:
According to the stripe direction of the determination, the chrominance component image after the filtering process is scanned, searches institute State the absolute of tone value and the tone value of first color in the first color stripe in chrominance component image The minimum pixel of difference, and it is minimum from the absolute difference of the tone value and the tone value of first color Pixel in filter out datum mark;
Search corresponding to the datum mark the absolute of tone value and the tone value of the datum mark in presumptive area Difference is less than the pixel of predetermined threshold value;
According to the position coordinates of the datum mark, and the tone value and the tone value of the datum mark is absolute Difference is less than the position coordinates of the pixel of predetermined threshold value, determines the first color bar in the chrominance component image The position coordinates of the central point of line.
13. device as claimed in claim 12, it is characterised in that the classification unit is specifically used for:
If two points in the central point determined while meeting following three condition, it is determined that this two Individual point belongs to the color stripe of same first:
Condition 1:Δ x >=-1 or Δ y >=-1
Condition 2:| Δ y | < f*MaxLen
Condition 3:| Δ x | < f*MaxLen
Wherein, Δ x be described two points abscissa difference, Δ y be described two points ordinate difference, f To be less than 1 preset constant more than 0, MaxLen is the estimation width.
14. device as claimed in claim 8, it is characterised in that described device also includes rotary extension list Member, for the processing that rotated and/or stretched to the stripe pattern extracted;
The separative element is specifically used for:
The stripe pattern after the flexible processing is converted into tone saturation degree lightness HSV images;
The rotary extension unit is additionally operable to:
According to the rotation and/or flexible processing, reduction treatment is carried out to the stripe information of the determination, with The stripe information is set to match with original described first image.
CN201610296958.9A 2016-05-06 2016-05-06 The determination method and apparatus of stripe information in a kind of image Withdrawn CN107346553A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110926339A (en) * 2018-09-19 2020-03-27 山东理工大学 Real-time three-dimensional measurement method based on one-time projection structured light parallel stripe pattern
CN113137937A (en) * 2021-03-25 2021-07-20 武汉锐科光纤激光技术股份有限公司 Method for extracting central line of structured light stripe
CN113409221A (en) * 2021-06-30 2021-09-17 深圳市斯博科技有限公司 Image color matting method, system, computer equipment and storage medium
CN116778232A (en) * 2023-06-01 2023-09-19 自然资源部国土卫星遥感应用中心 SAR image vertical stripe detection method, device, equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1512455A (en) * 2002-12-27 2004-07-14 中国科学院自动化研究所 Object three-dimensional model quick obtaining method based on active vision
CN103292741A (en) * 2013-05-29 2013-09-11 哈尔滨工程大学 Structured light vision measurement method for 3D surface profiles of objects on the basis of K-means color clustering
CN104504710A (en) * 2014-12-30 2015-04-08 中国科学技术大学 Moore stripe recognition method and device for X-ray grating phase-contrast imaging
US20150362740A1 (en) * 2014-06-16 2015-12-17 Samsung Display Co., Ltd. Stereoscopic image display device
CN105204173A (en) * 2015-08-31 2015-12-30 重庆卓美华视光电有限公司 View synthesis correction method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1512455A (en) * 2002-12-27 2004-07-14 中国科学院自动化研究所 Object three-dimensional model quick obtaining method based on active vision
CN103292741A (en) * 2013-05-29 2013-09-11 哈尔滨工程大学 Structured light vision measurement method for 3D surface profiles of objects on the basis of K-means color clustering
US20150362740A1 (en) * 2014-06-16 2015-12-17 Samsung Display Co., Ltd. Stereoscopic image display device
CN104504710A (en) * 2014-12-30 2015-04-08 中国科学技术大学 Moore stripe recognition method and device for X-ray grating phase-contrast imaging
CN105204173A (en) * 2015-08-31 2015-12-30 重庆卓美华视光电有限公司 View synthesis correction method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴玲玲 等: "组合测量在莫尔条纹中心亚像素定位的应用", 《西安工业大学学报》 *
李瑜芳: "彩色结构光条纹中心线提取方法研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110926339A (en) * 2018-09-19 2020-03-27 山东理工大学 Real-time three-dimensional measurement method based on one-time projection structured light parallel stripe pattern
CN113137937A (en) * 2021-03-25 2021-07-20 武汉锐科光纤激光技术股份有限公司 Method for extracting central line of structured light stripe
CN113409221A (en) * 2021-06-30 2021-09-17 深圳市斯博科技有限公司 Image color matting method, system, computer equipment and storage medium
CN113409221B (en) * 2021-06-30 2023-12-12 深圳万兴软件有限公司 Image color matting method, system, computer equipment and storage medium
CN116778232A (en) * 2023-06-01 2023-09-19 自然资源部国土卫星遥感应用中心 SAR image vertical stripe detection method, device, equipment and storage medium

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