CN103793150A - Image selection method and image selection system - Google Patents
Image selection method and image selection system Download PDFInfo
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Abstract
An image selection method includes: marking all pixels in an image as K0; recording an area, swept by a selection brush, on the image, and marking pixels in the area as K1; amplifying a preset proportion of the area marked as K1 in the image, and changing the pixels marked as K0 in the amplified area of the image into K2; counting color spatial distribution of the pixels marked as K1; counting color spatial distribution of the pixels marked as K2; setting up an energy distribution model of the pixels marked as K2; according to the energy distribution model, calculating to obtain mark distribution of each pixel marked as K2 when an energy function is minimum, and marking as K0 or K1; marking each pixel marked as K2 as K0 or K1 according to mark distribution. The invention further provides a corresponding system, and expansible image selection can be realized more conveniently, rapidly and accurately.
Description
Technical field
The present invention relates to image processing techniques, particularly relate to system of selection and the system of picture material.
Background technology
Image processing techniques is often used in people's life, if PS software is exactly the most frequently used image processing software.Before to the Local treatment of image, as processed personage's face image, that first just need to choose the face area in image.Conventional image selection mode mainly contains following several:
A kind of is the mode of fixing circular brush, user drags mouse pointer or on touch-screen, drags finger on original image or local enlarged image, click at every turn and all choose a circular region, in order to select the detail section of image, common way is the radius that changes circular brush, and repeatedly selects.
Another kind is magic wand tool, clicks behind a position in image, and system will be selected the region being connected with this position and color is identical or close automatically.
But, in using fixing brush to select image detail region, the operation that user must click each time or drag exactly, the interactive operation needing is too much, although can obtain higher selection accuracy, the efficiency of selection is very low.
Although magic wand tool can robotization be chosen certain color, but take face as example, its face-image is not a single color, can not be realized and being selected by this instrument.
Summary of the invention
Based on this, be necessary to provide a kind of efficiently and accurately and there is image-selecting method and the system of expanding selection function.
A kind of image-selecting method, comprises the steps:
Described in mark, in image, all pixels are K0;
Receive and respond user operation, brush inswept region on described image selected in record, changes the pixel mark in this region in described image into K1, and record the position of the end point of described selection brush;
Will in described image, be labeled as the region of K1 amplify preset ratio, and to be K0 by the pixel label in the region after amplification in described image change K2 into;
Add up in the region of the default size of the position of close described selection brush mobile end point in described image, the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The color space of adding up the pixel that is labeled as K2 in described image distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The described predetermined number of the pixel that is K1 according to the region internal labeling of a described default size color cluster center, with the predetermined number color cluster center of pixel that is labeled as K2 in described image, the pixel that is labeled as K2 in described image is set up to energy distribution model;
According to described energy distribution model, calculate energy function hour, in described image, be labeled as the indicia distribution of each pixel of K2, described indicia distribution is K0 or K1;
According to described indicia distribution, by described image, be labeled as K2 each pixel be labeled as K0 or K1.
In one of them embodiment, also comprise the steps: that the pixel that is labeled as K1 in described image is set to selection mode.Described selection brush is circular.
In one of them embodiment, described predetermined number is greater than one.
In one of them embodiment, the energy function of described energy distribution model is as follows:
Wherein:
E
d(x
p)=x
pmin|I
p-Cf|+(1-x
p)min|I
p-Cb|
E
c(x
p,x
q)=|x
p-x
q|(I
p-I
q)
-1
Cf is a described predetermined number color cluster center of the region internal labeling of the described default size pixel that is K1;
Cb is a predetermined number color cluster center that is labeled as the pixel of K2 in described image;
K0=0, K1=1, K2=2, I
p, I
qfor the adjacent p in position, the pixel color that q is ordered.E
d(x
p) represent that the pixel that described image meta is set to p is labeled as x
ptime energy consumption, x
p=K0 or K1, E
c(x
p, x
q) represent that position 2 marks of adjacent p q are respectively I
p, I
ptime energy consumption, x
q=0 or 1.
In one of them embodiment, described indicia distribution is to adopt energy distribution model described in maxflow Algorithm for Solving to obtain.
A kind of image selective system, comprising:
Image shows module, in marking image, all pixels are K0;
Logging modle, for receiving and respond user operation, brush inswept region on described image selected in record, change the pixel mark in this region in described image into K1, and the position of the end point of brush selected in record;
Expansion module, amplifies preset ratio for the region that described image is labeled as to K1, and to be K0 by the pixel label in the region after amplification in described image change K2 into;
The first statistical module, for adding up in the region of described image near the default size of the position of described selection brush mobile end point, the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The second statistical module, the color space that is labeled as the pixel of K2 for adding up described image distributes, and adopts clustering method to obtain a predetermined number color cluster center;
MBM, be used for a described predetermined number color cluster center of the pixel that is K1 according to the region internal labeling of described default size, with the predetermined number color cluster center of pixel that is labeled as K2 in described image, the pixel that is labeled as K2 in described image is set up to energy distribution model;
Processing module, according to described energy distribution model, calculates energy function hour, is labeled as the indicia distribution of each pixel of K2 in described image, and described indicia distribution is K0 or K1;
Mark module, for according to described indicia distribution, by described image, be labeled as K2 each pixel be labeled as K0 or K1.
In one of them embodiment, also comprise: select module, the pixel that is labeled as K1 for described image is set to selection mode.
In one of them embodiment, described predetermined number is greater than one.
In one of them embodiment, the energy function of the described energy distribution model that described MBM is set up is as follows:
Wherein:
E
d(x
p)=x
pmin|I
p-Cf|+(1-x
p)min|I
p-Cb|
E
c(x
p,x
q)=|x
p-x
q|(I
p-I
q)
-1
Cf is a described predetermined number color cluster center of the region internal labeling of the described default size pixel that is K1;
Cb is a predetermined number color cluster center that is labeled as the pixel of K2 in described image;
K0=0, K1=1, K2=2, I
p, I
qfor the adjacent p in position, the pixel color that q is ordered.E
d(x
p) represent that the pixel that described image meta is set to p is labeled as x
ptime energy consumption, x
p=K0 or K1, E
c(x
p, x
q) represent that position 2 marks of adjacent p q are respectively I
p, I
ptime energy consumption, x
q=0 or 1.
In one of them embodiment, described processing module is to adopt energy distribution model described in maxflow Algorithm for Solving to obtain described indicia distribution.
The mode of the fixing brush of above-mentioned image-selecting method tradition relative to system, the image-region that user can select in hope arbitrarily clicks, algorithm can be real-time and accurately will select area extension to the adjacent domain similar to selecting region, thereby improve user and select efficiency and the accuracy of image-region.The selection mode of magic wand tool relatively, Magic wand can only carry out monochrome image expansion to some pixels, if will select a polyenergetic image, as face, cannot use magic wand tool to select.And method is selected user and expansion combination described in this case, realize disposable expansion and select polyenergetic image, also can from the region of selecting, add up multiple color clusters center, expand in preset range thereby can carry out multiple color simultaneously, make efficiency of selection higher, more accurate.
Accompanying drawing explanation
Fig. 1 is the flow chart of steps of the image-selecting method of an embodiment;
Form of expression schematic diagram when Fig. 2 is the image-selecting method selection picture material shown in Fig. 1;
Fig. 3 is the functional block diagram of the image selective system of an embodiment.
Embodiment
The image-selecting method of this case one embodiment is the default size of selection area expansion of selecting in image operating in based on user, and region is expanded; Then include at least part of pixel in extended area in selection area, described in include in the pixel of selection area and the color distance of selection area, with do not include in selection area pixel color distance and with consecutive point to mark whether that identical feature meets jointly pre-conditioned.
Realize cutting apart of above-mentioned extended area and include partial pixel in selection area, can adopt the most frequently used image partition method based on energy function of industry.
As shown in Figure 1, it is the flow chart of steps of the image-selecting method of an embodiment, comprises the steps:
Step 101, in marking image, all pixels are K0.
Described K0 can be arabic numeral, letter, symbol etc., and for playing separator effect, in the present embodiment, K0 gets digital " 0 ", is labeled as the non-selected pixel of expression of " 0 " here, is also image initial.
Step 102, receives and responds user operation, and brush inswept region on described image selected in record, change the pixel mark in this region in described image into K1, and the position of the end point of brush selected in record.
Described selection brush can be arbitrary shape, is generally circular or square, and the present embodiment is circular brush.Described selection operation can be that user clicks mouse or pins mouse drag action, can also be that user points or pointer clicking or sliding action on touch-screen.Described K1 can be arabic numeral, letter, symbol etc., and in the present embodiment, K1 gets " 1 ".
Step 103, will in described image, be labeled as the region of K1 amplify preset ratio, and to be K0 by the pixel label in the region after amplification in described image change K2 into.
Described K2 can be arabic numeral, letter, symbol etc.In the present embodiment, K2 gets " 2 ".Now, in image, be labeled as the non-selected region of expression of K0, region has been selected in the expression that is labeled as K1, and region is selected in the expression expansion that is labeled as K2, selects region all can be selected but may not expand.
Step 104, adds up in the region of the default size of the position of close described selection brush mobile end point in described image, and the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center.
In the present embodiment, the region of the default size of the described position near described selection brush mobile end point is the region of the default size centered by the position of described selection brush mobile end point.
In the present embodiment, the described predetermined number of the pixel that the region internal labeling of described default size is a K1 color cluster center is denoted as Cf.
Step 105, the color space of adding up the pixel that is labeled as K2 in described image distributes, and adopts clustering method to obtain a predetermined number color cluster center.
In the present embodiment, a predetermined number color cluster center that is labeled as the pixel of K2 in described image is denoted as Cb.Above-mentioned two predetermined numbers all can be any, is at least one, and in the present embodiment, predetermined number is greater than one.
Step 106, the described predetermined number of the pixel that is K1 according to the region internal labeling of a described default size color cluster center, with the predetermined number color cluster center of pixel that is labeled as K2 in described image, the pixel that is labeled as K2 in described image is set up to energy distribution model.
Described the pixel that is labeled as K2 in described image is set up to energy distribution model, what refer to brings a described predetermined number color cluster centre data in default energy function into, solves to carry out next step calculating.
In the present embodiment, described K0=0, K1=1, K2=2, the energy function of described energy distribution model is as follows:
Wherein:
E
d(x
p)=x
pmin|I
p-Cf|+(1-x
p)min|I
p-Cb|
E
c(x
p,x
q)=|x
p-x
q|(I
p-I
q)
-1
I
p, I
qfor the adjacent p in position, the pixel color that q is ordered.E
d(x
p) represent that the pixel that described image meta is set to p is labeled as x
ptime energy consumption, x
p=0 or 1, E
c(x
p, x
q) represent that 2 marks of the adjacent pq in position are respectively x
p, x
qtime energy consumption, x
q=0 or 1.
In other embodiment, if be labeled as letter or other irregular marks, two energy functions identical and different two kinds of situations of corresponding adjacent pixel piont mark respectively only need be set.
Step 107, according to described energy distribution model, calculates energy function hour, is labeled as the indicia distribution of each pixel of K2 in described image, and described indicia distribution is K0 or K1.
Be equivalent to that the mark that is labeled as each pixel of K2 in described image is changed into K0 or K1 carries out permutation and combination, the value of energy function while calculating various permutation and combination respectively, retains permutation and combination method corresponding to energy function minimum value.In the present embodiment, described indicia distribution is to adopt energy distribution model described in maxflow Algorithm for Solving to obtain.
Step 108, according to described indicia distribution, by described image, be labeled as K2 each pixel be labeled as K0 or K1.
Step 109, the pixel that is labeled as K1 in described image is set to selection mode.
Described selection mode can be to surround and be labeled as the pixel of K1 with dotted line frame, or with certain color the pixel take translucent mode overlay marks as K1 etc., distinguish selection and non-selected content as long as be convenient to user.Now user can see that oneself this time dragging selected region has realized expansion.
Above-mentioned image-selecting method is the mode of the fixing brush of tradition relatively, the image-region that user can select in hope arbitrarily clicks, algorithm can be real-time and accurately will select area extension to the adjacent domain similar to selecting region, thereby improve user and select efficiency and the accuracy of image-region.The selection mode of magic wand tool relatively, Magic wand can only carry out monochrome image expansion to some pixels, if will select a polyenergetic image, as face, cannot use magic wand tool to select.And method is selected user and expansion combination described in this case, realize disposable expansion and select polyenergetic image, also can from the region of selecting, add up multiple color clusters center, expand in preset range thereby can carry out multiple color simultaneously, make efficiency of selection higher, more accurate.
Sometimes user can contract/put after demonstration image, then carries out image selection.For this reason, in other embodiment, described step 103 preset ratio can change according to the contracting of described image/put ratio is corresponding, as proportional in preset ratio and the image ratio that contracts/put.
Please refer to Fig. 2, form of expression schematic diagram when it is the image-selecting method selection picture material shown in Fig. 1.
In Fig. 2, user selects picture material by circular brush in image 20, and when initialization, each pixel of image 20 is labeled as " 0 ".User is dragged to B point by circular brush from A point, obtains selecting region 31, and pixel in mark extended area 32 is " 1 ".Now, system can the large selection of automatic releasing region 31, the region 32 that is expanded, and pixel in mark extended area 32 is " 2 ".Then add up with the color space of the pixel that is labeled as " 1 " in the default size area 33 in the B point center of circle and distribute, adopt clustering method to obtain a predetermined number color cluster center; The color space of adding up again the pixel in extended area 32 distributes, and adopts clustering method to obtain a predetermined number color cluster center.Calculate energy function hour by energy distribution model again, the indicia distribution of extended area 32 interior each pixels, and the mark of each pixels in extended area 32 is set according to indicia distribution.In final image 20, the pixel of all being labeled as " 1 " is chosen content, and its scope may be the part that in Fig. 2, dotted line frame 34 surrounds.
As shown in Figure 3, it is the functional block diagram of the image selective system 40 of an embodiment, comprising:
Image shows module 401 is K0 for all pixels of image described in mark.
The first statistical module 404, for adding up in the region of described image near the default size of the position of described selection brush mobile end point, the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center.
The second statistical module 405, the color space that is labeled as the pixel of K2 for adding up described image distributes, and adopts clustering method to obtain a predetermined number color cluster center.
Described K0, K1 and K2 can be arabic numeral, letter, and symbol etc., for playing separator effect.
Other features of above-mentioned image selective system 40 can be identical with above-mentioned image-selecting method, repeats no more herein.
Above-mentioned image selective system 40 is the mode of the fixing brush of tradition relatively, the image-region that user can select in hope arbitrarily clicks, algorithm can be real-time and accurately will select area extension to the adjacent domain similar to selecting region, thereby improve user and select efficiency and the accuracy of image-region.The selection mode of magic wand tool relatively, Magic wand can only carry out monochrome image expansion to some pixels, if will select a polyenergetic image, as face, cannot use magic wand tool to select.And method is selected user and expansion combination described in this case, realize disposable expansion and select polyenergetic image, also can from the region of selecting, add up multiple color clusters center, expand in preset range thereby can carry out multiple color simultaneously, make efficiency of selection higher, more accurate.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an image-selecting method, is characterized in that, comprises the steps:
Described in mark, in image, all pixels are K0;
Receive and respond user operation, brush inswept region on described image selected in record, changes the pixel mark in this region in described image into K1, and record the position of the end point of described selection brush;
Will in described image, be labeled as the region of K1 amplify preset ratio, and to be K0 by the pixel label in the region after amplification in described image change K2 into;
Add up in the region of the default size of the position of close described selection brush mobile end point in described image, the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The color space of adding up the pixel that is labeled as K2 in described image distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The described predetermined number of the pixel that is K1 according to the region internal labeling of a described default size color cluster center, with the predetermined number color cluster center of pixel that is labeled as K2 in described image, the pixel that is labeled as K2 in described image is set up to energy distribution model;
According to described energy distribution model, calculate energy function hour, in described image, be labeled as the indicia distribution of each pixel of K2, described indicia distribution is K0 or K1;
According to described indicia distribution, by described image, be labeled as K2 each pixel be labeled as K0 or K1.
2. image-selecting method according to claim 1, is characterized in that, also comprises the steps:
The pixel that is labeled as K1 in described image is set to selection mode.
3. image-selecting method according to claim 1, is characterized in that, described predetermined number is greater than one.
4. image-selecting method according to claim 1, is characterized in that, the energy function of described energy distribution model is as follows:
Wherein:
E
d(x
p)=x
pmin|I
p-Cf|+(1-x
p)min|I
p-Cb|
E
c(x
p,x
q)=|x
p-x
q|(I
p-I
q)
-1
Cf is a described predetermined number color cluster center of the region internal labeling of the described default size pixel that is K1;
Cb is a predetermined number color cluster center that is labeled as the pixel of K2 in described image;
K0=0, K1=1, K2=2, I
p, I
qfor the adjacent p in position, the pixel color that q is ordered.E
d(x
p) represent that the pixel that described image meta is set to p is labeled as x
ptime energy consumption, x
p=K0 or K1, E
c(x
p, x
q) represent that position 2 marks of adjacent p q are respectively I
p, I
qtime energy consumption, x
q=0 or 1.
5. image-selecting method according to claim 4, is characterized in that, described indicia distribution is to adopt energy distribution model described in maxflow Algorithm for Solving to obtain.
6. an image selective system, is characterized in that, comprising:
Image shows module, for opening and showing image, in image, all pixels are K0 described in mark;
Logging modle, for receiving and respond user operation, brush inswept region on described image selected in record, change the pixel mark in this region in described image into K1, and the position of the end point of brush selected in record;
Expansion module, amplifies preset ratio for the region that described image is labeled as to K1, and to be K0 by the pixel label in the region after amplification in described image change K2 into;
The first statistical module, for adding up in the region of described image near the default size of the position of described selection brush mobile end point, the color space that is labeled as the pixel of K1 distributes, and adopts clustering method to obtain a predetermined number color cluster center;
The second statistical module, the color space that is labeled as the pixel of K2 for adding up described image distributes, and adopts clustering method to obtain a predetermined number color cluster center;
MBM, be used for a described predetermined number color cluster center of the pixel that is K1 according to the region internal labeling of described default size, with the predetermined number color cluster center of pixel that is labeled as K2 in described image, the pixel that is labeled as K2 in described image is set up to energy distribution model;
Processing module, according to described energy distribution model, calculates energy function hour, is labeled as the indicia distribution of each pixel of K2 in described image, and described indicia distribution is K0 or K1;
Mark module, for according to described indicia distribution, by described image, be labeled as K2 each pixel be labeled as K0 or K1.
7. image selective system according to claim 1, is characterized in that, also comprises: select module, the pixel that is labeled as K1 for described image is set to selection mode.
8. image selective system according to claim 1, is characterized in that, described predetermined number is greater than one.
9. image selective system according to claim 1, is characterized in that, the energy function of the described energy distribution model that described MBM is set up is as follows:
Wherein:
E
d(x
p)=x
pmin|I
p-Cf|+(1-x
p)min|I
p-Cb|
E
c(x
p,x
q)=|x
p-x
q|(I
p-I
q)
-1
Cf is a described predetermined number color cluster center of the region internal labeling of the described default size pixel that is K1;
Cb is a predetermined number color cluster center that is labeled as the pixel of K2 in described image;
K0=0, K1=1, K2=2, I
p, I
qfor the adjacent p in position, the pixel color that q is ordered.E
d(x
p) represent that the pixel that described image meta is set to p is labeled as x
ptime energy consumption, x
p=K0 or K1, E
c(x
p, x
q) represent that position 2 marks of adjacent p q are respectively I
p, I
ptime energy consumption, x
q=0 or 1.
10. image selective system according to claim 9, is characterized in that, described processing module is to adopt energy distribution model described in maxflow Algorithm for Solving to obtain described indicia distribution.
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| CN112051959A (en) * | 2020-09-02 | 2020-12-08 | 北京字节跳动网络技术有限公司 | Method, device and equipment for generating image drawing process and storage medium |
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| US20080137952A1 (en) * | 2001-10-24 | 2008-06-12 | Nik Multimedia, Inc. | User Definable Image Reference Regions |
| CN101398930A (en) * | 2008-10-24 | 2009-04-01 | 清华大学 | Interactive edition method and system |
| CN101599124A (en) * | 2008-06-03 | 2009-12-09 | 汉王科技股份有限公司 | A kind of from video image the method and apparatus of separating character |
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| US20080137952A1 (en) * | 2001-10-24 | 2008-06-12 | Nik Multimedia, Inc. | User Definable Image Reference Regions |
| CN101599124A (en) * | 2008-06-03 | 2009-12-09 | 汉王科技股份有限公司 | A kind of from video image the method and apparatus of separating character |
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| CN112051959A (en) * | 2020-09-02 | 2020-12-08 | 北京字节跳动网络技术有限公司 | Method, device and equipment for generating image drawing process and storage medium |
| WO2022048421A1 (en) * | 2020-09-02 | 2022-03-10 | 北京字节跳动网络技术有限公司 | Image drawing process generation method and apparatus, device, and storage medium |
| CN112051959B (en) * | 2020-09-02 | 2022-05-27 | 北京字节跳动网络技术有限公司 | Method, device and equipment for generating image drawing process and storage medium |
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