CN105241638A - Vision-based quick LED module brightness uniformity detection method - Google Patents
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Abstract
The invention discloses a vision-based quick LED module brightness uniformity detection method. The method comprises the following steps: S1, a light emitting image of the LED module is acquired, gray processing is carried out on the image, the image is filtered after gray processing, the image after being filtered is subjected to morphological processing, and the image after morphological processing is subjected to histogram equalization processing; S2, each LED lamp point is positioned through block positioning algorithm, the LED lamp point is subjected to gray processing, the LED lamp point after gray processing is subjected to mathematical morphological open operation, and the brightness value of the LED lamp point and an average value are acquired; and S3, after each LED lamp point in the LED module is traversed, the brightness value of each LED lamp point is displayed, and the final processing result is displayed. The method plays an important role in yield detection during the LED lamp production process.
Description
Technical field
The present invention relates to LED brightness uniformity analysis field, particularly relate to a kind of LED module brightness uniformity method for quick of view-based access control model.
Background technology
In recent years, LED display, as one of the important carrier of multimedia technology, plays a part more and more important, causes the concern of people gradually in the middle of people's work, life and amusement.Because LED LED operation voltage is low, shock-resistant, anti-vibration, life-span be long, so in large-scale display device, the display mode that there is no other at present can be equal to LED display mode.
A display screen is made up of thousands of light emitting diodes, and it is impossible for requiring the brightness of each diode completely the same, and according to the industrial grading standard of LED manufacturer, the high-high brightness error that the LED display of same batch allows is 20%-40%.And for video source being amplified hundreds of times even LED display of thousands of times, human eye can the luminance difference of 1%-2% between resolution module, therefore the LED display be spliced by the inconsistent LED point of brightness just there will be the phenomenon such as uneven color or mosaic block; And, for the LED display that brightness uniformity when dispatching from the factory is consistent, when it runs to certain hour, each LED can have color-coordinate shift in various degree and brightness decay, make to show between each pixel of LED point uneven, compared with screen when dispatching from the factory at first, the overall brightness of whole screen can decline.
Evaluate the homogeneity that one of important indicator of LED display display quality is exactly the brightness of LED point.The LED module of view-based access control model detects fast and proposes objective and accurate detection algorithm to each lamp brightness uniformity of LED display exactly, and detects the lamp point that brightness is inadequate fast, thus provides guidance for the research and development of LED display module and production.
Summary of the invention
The present invention is intended at least solve the technical matters existed in prior art, especially innovatively proposes a kind of LED module brightness uniformity method for quick of view-based access control model.
In order to realize above-mentioned purpose of the present invention, the invention provides a kind of LED module brightness uniformity method for quick of view-based access control model, it comprises the steps:
S1, gathers the luminescent image of LED module, to carrying out filtering to image after image gray processing process, gray processing process, filtered image being carried out Morphological scale-space, then the image after Morphological scale-space being carried out histogram equalization process;
S2, is positioned each LED point by piecemeal location algorithm, and this LED point is carried out gray proces, this LED point after gray proces is carried out mathematical morphology open operator, obtains brightness value and the mean value of this LED point;
S3, traversal LED module in each LED point after, according to arrange threshold value carry out LED point brightness detect; Calculate using the average brightness of each lamp as standard value, the LED point being less than overall brightness mean value is considered as the inadequate point of brightness, and pixel zero setting all in the rectangular partition region at inadequate for brightness lamp point place, then demonstrate the brightness value size of each LED point and final result.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S1 comprises the steps:
Image gray processing algorithm:
Process coloured image being transformed into gray level image becomes the gray processing process of image; The color of each pixel in the coloured image collected has R, G, B tri-components, and the gray processing Processing Algorithm of image is: I=0.3R+0.59G+0.11B, and in formula, I is grey scale pixel value, and R, G, B are the redgreenblue component value of coloured image;
Histogram equalization process: algorithm of histogram equalization is divided into three steps, the first step is the number of times that each gray level of statistic histogram occurs, second step is accumulative normalized histogram, 3rd step calculates new pixel value, the histogram equalization operator histeq in MATLAB can be adopted to realize: I=histeq (I
0), in formula, I
0for the image before histogram equalization, I is the image after histogram equalization;
Image filtering: for the point-like noise occurred in the image that elimination gathers is on the impact of subsequent algorithm, present treatment adopts the method for medium filtering to carry out filtering; Filter window size is 9 × 9, and the value of any in digital picture or Serial No. is replaced with the Mesophyticum of each point value in 9 × 9 neighborhoods of this point, eliminates isolated noise spot; Two dimension median filter exports as g (x, y)=med{f (x-k, y-l), (k, l ∈ W) }, wherein, f (x, y), g (x, y) are respectively original image and the rear image of process; W is two dimension pattern plate, med for getting intermediate value, for being generally 9 × 9 regions in this filtering;
Morphological scale-space: adopt the opening operation in mathematical morphology to complete; The specific algorithm of opening operation is the process of first corroding rear expansion; Its specific algorithm is:
in formula, X is the region of the pending opening operation of input; B is the structural element of opening operation, adopt in this algorithm be 3 × 3 structural element.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S2 comprises the steps:
On pretreated image, lamp point is positioned.Each LED pipe of display screen is rendered as a round spot shape region on become image, and the pixel number wherein comprised is very large.Meanwhile, putting in order between LED point is fixing and known.In order to effectively locate each lamp point, the present invention takes piecemeal location algorithm to position LED point; In processing procedure, first mathematical morphology open operator is carried out to gray level image, to eliminate some independently noise region of being scattered in gray level image, and disconnect the narrow and small connection existed between isolated area, then block image segmentation is carried out to LED display, for each LED point divides equal-sized region, make the brightness in each region be similar to evenly, and in this region, contain this LED pipe become all pixels of image.In the ordinary course of things, LED point region should be region the brightest in whole screen, but, in actual imaging, the interference of other luminous objects may be subject to.Therefore in above-mentioned section technique process, according to being this principle of high gray-scale value in target area, interference region can be removed.Namely calculate each pixel gray-scale value of segmented areas, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, and for being less than the pixel of threshold value, be then regarded as background value.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S3 comprises the steps:
LED brightness calculation each lamp brightness value after demonstrating location.Present invention employs maximum average value method and calculate each lamp brightness value, both take into account the importance of LED high-brightness region to brightness calculation, and considered again the complicacy of LED fringe region brightness; First this algorithm finds out the average brightness value of whole display image, and in this, as threshold value.Under piecemeal localization method, calculate each pixel gray-scale value of rectangular area, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, thus calculate the average gray value of this segmented areas, and for being less than the pixel of threshold value, be then regarded as background value.Then with 10 for step-length increases threshold value, until threshold value is less than or equal to max pixel value 255, and the said process that circulates, obtain the gray scale maximum average value of each square areas, in this, as the brightness value of each LED.
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
The illumination effect of LED module can be detected fast and accurately by detection method of the present invention, for in LED lamp generative process, carry out yields to detect there is vital meaning, and detect the lamp point that brightness is inadequate fast, thus provide guidance for the research and development of LED display module and production.
Additional aspect of the present invention and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
Above-mentioned and/or additional aspect of the present invention and advantage will become obvious and easy understand from accompanying drawing below combining to the description of embodiment, wherein:
Fig. 1 is detection algorithm process flow diagram;
Fig. 2 is 11 × 8 simulation LED display imagings;
Fig. 3 is that plus noise 11 × 8 simulates LED display imaging;
Fig. 4 is 17 × 11 actual LED display imagings;
Fig. 5 is each lamp brightness value table in Fig. 2;
Fig. 6 is each lamp brightness value testing result in Fig. 2;
Fig. 7 is each lamp brightness value testing result in Fig. 3;
Fig. 8 is each lamp brightness value testing result in Fig. 4;
Fig. 9 is 11 × 8LED display screen experimental result;
Figure 10 is plus noise 11 × 8LED display screen experimental result;
Figure 11 is 17 × 11LED display screen experimental result.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.
In describing the invention, it will be appreciated that, term " longitudinal direction ", " transverse direction ", " on ", D score, "front", "rear", "left", "right", " vertically ", " level ", " top ", " end " " interior ", the orientation of the instruction such as " outward " or position relationship be based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, instead of indicate or imply that the device of indication or element must have specific orientation, with specific azimuth configuration and operation, therefore can not be interpreted as limitation of the present invention.
In describing the invention, unless otherwise prescribed and limit, it should be noted that, term " installation ", " being connected ", " connection " should be interpreted broadly, such as, can be mechanical connection or electrical connection, also can be the connection of two element internals, can be directly be connected, also indirectly can be connected by intermediary, for the ordinary skill in the art, the concrete meaning of above-mentioned term can be understood as the case may be.
As shown in Figure 1, the invention provides a kind of LED module brightness uniformity method for quick of view-based access control model, it comprises the steps:
S1, gathers the luminescent image of LED module, to carrying out filtering to image after image gray processing process, gray processing process, filtered image being carried out Morphological scale-space, then the image after Morphological scale-space being carried out histogram equalization process;
S2, is positioned each LED point by piecemeal location algorithm, and this LED point is carried out gray proces, this LED point after gray proces is carried out mathematical morphology open operator, obtains brightness value and the mean value of this LED point;
S3, traversal LED module in each LED point after, according to arrange threshold value carry out LED point brightness detect; Calculate using the average brightness of each lamp as standard value, the LED point being less than overall brightness mean value is considered as the inadequate point of brightness, and pixel zero setting all in the rectangular partition region at inadequate for brightness lamp point place, then demonstrate the brightness value size of each LED point and final result.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S1 comprises the steps:
Image gray processing algorithm:
Process coloured image being transformed into gray level image becomes the gray processing process of image; The color of each pixel in the coloured image collected has R, G, B tri-components, and the gray processing Processing Algorithm of image is: I=0.3R+0.59G+0.11B, and in formula, I is grey scale pixel value, and R, G, B are the redgreenblue component value of coloured image;
Histogram equalization process: algorithm of histogram equalization is divided into three steps, the first step is the number of times that each gray level of statistic histogram occurs, second step is accumulative normalized histogram, 3rd step calculates new pixel value, the histogram equalization operator histeq in MATLAB can be adopted to realize: I=histeq (I
0), in formula, I
0for the image before histogram equalization, I is the image after histogram equalization;
Image filtering: for the point-like noise occurred in the image that elimination gathers is on the impact of subsequent algorithm, present treatment adopts the method for medium filtering to carry out filtering; Filter window size is 9 × 9, and the value of any in digital picture or Serial No. is replaced with the Mesophyticum of each point value in 9 × 9 neighborhoods of this point, eliminates isolated noise spot; Two dimension median filter exports as g (x, y)=med{f (x-k, y-l), (k, l ∈ W) }, wherein, f (x, y), g (x, y) are respectively original image and the rear image of process; W is two dimension pattern plate, med for getting intermediate value, for being generally 9 × 9 regions in this filtering;
Morphological scale-space: adopt the opening operation in mathematical morphology to complete; The specific algorithm of opening operation is the process of first corroding rear expansion; Its specific algorithm is:
in formula, X is the region of the pending opening operation of input; B is the structural element of opening operation, adopt in this algorithm be 3 × 3 structural element.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S2 comprises the steps:
On pretreated image, lamp point is positioned.Each LED pipe of display screen is rendered as a round spot shape region on become image, and the pixel number wherein comprised is very large.Meanwhile, putting in order between LED point is fixing and known.In order to effectively locate each lamp point, the present invention takes piecemeal location algorithm to position LED point; In processing procedure, first mathematical morphology open operator is carried out to gray level image, to eliminate some independently noise region of being scattered in gray level image, and disconnect the narrow and small connection existed between isolated area, then block image segmentation is carried out to LED display, for each LED point divides equal-sized region, make the brightness in each region be similar to evenly, and in this region, contain this LED pipe become all pixels of image.In the ordinary course of things, LED point region should be region the brightest in whole screen, but, in actual imaging, the interference of other luminous objects may be subject to.Therefore in above-mentioned section technique process, according to being this principle of high gray-scale value in target area, interference region can be removed.Namely calculate each pixel gray-scale value of segmented areas, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, and for being less than the pixel of threshold value, be then regarded as background value.
The LED module brightness uniformity method for quick of described view-based access control model, preferably, described S3 comprises the steps:
LED brightness calculation each lamp brightness value after demonstrating location.Present invention employs maximum average value method and calculate each lamp brightness value, both take into account the importance of LED high-brightness region to brightness calculation, and considered again the complicacy of LED fringe region brightness; First this algorithm finds out the average brightness value of whole display image, and in this, as threshold value.Under piecemeal localization method, calculate each pixel gray-scale value of rectangular area, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, thus calculate the average gray value of this segmented areas, and for being less than the pixel of threshold value, be then regarded as background value.Then with 10 for step-length increases threshold value, until threshold value is less than or equal to max pixel value 255, and the said process that circulates, obtain the gray scale maximum average value of each square areas, in this, as the brightness value of each LED.
The present invention is the test problems of each lamp brightness uniformity in order to solve LED display, provides a kind of LED module fast algorithm of detecting of view-based access control model.By this detection algorithm, the lamp point that not only can realize display module brightness is inadequate carries out quick detection & localization, can also detect the concrete gray-scale value of different lamp point.
In order to reach the object of each lamp brightness uniformity test problems solving above-mentioned LED display, the invention provides a kind of LED module fast algorithm of detecting of view-based access control model, described LED module is LED display, view-based access control model and LED display image information to be detected pass to ccd image sensor by lens assembly, after carrying out opto-electronic conversion, through image pick-up card, signal is quantized, output digit signals, then send PC to and carry out algorithm process.The method that the present invention proposes comprises step to be had: (1) image acquisition.(2) Image semantic classification.Comprise image gray processing, image filtering, Morphological scale-space and histogram equalization.(3) display screen lamp point brightness value detects.This part comprises piecemeal positioning lamp point, calculating show each lamp brightness value and mean value (4) according to each lamp brightness value calculated, and carries out brightness detection, last output display result.
In the whole flow process of brightness of display screen detection algorithm design, need solution two key issues, one is the research of lamp point location algorithm, and two is research and analysises that lamp spot meter is calculated.The present invention is by analyzing contrast, and the basis of conventional location algorithm proposes the optimized algorithm of piecemeal location, and for lamp point brightness value calculating section, then have employed another kind of optimized algorithm, namely maximum average value method asks the brightness of lamp point.Quick and precisely, the lamp point that not only can realize display module brightness is inadequate carries out quick detection & localization to such detection algorithm, can also detect the concrete gray-scale value of different lamp point.
The present invention realizes the detection of each lamp brightness uniformity of LED display by algorithm design, its specific design main points are as follows:
(1) carry out pre-service to the image that will detect, preprocessing process comprises image gray processing, image filtering, Morphological scale-space, histogram equalization process four parts.
(2) on pretreated image, lamp point is positioned.Each LED pipe of display screen is rendered as a round spot shape region on become image, and the pixel number wherein comprised is very large.Meanwhile, putting in order between LED point is fixing and known.In order to effectively locate each lamp point, the present invention takes piecemeal location algorithm to position LED point.In processing procedure, first mathematical morphology open operator is carried out to gray level image, to eliminate some independently noise region of being scattered in gray level image, and disconnect the narrow and small connection existed between isolated area, then block image segmentation is carried out to LED display, for each LED point divides equal-sized region, make the brightness in each region be similar to evenly, and in this region, contain this LED pipe become all pixels of image.In the ordinary course of things, LED point region should be region the brightest in whole screen, but, in actual imaging, the interference of other luminous objects may be subject to.Therefore in above-mentioned section technique process, according to being this principle of high gray-scale value in target area, interference region can be removed.Namely calculate each pixel gray-scale value of segmented areas, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, and for being less than the pixel of threshold value, be then regarded as background value.
(3) LED brightness calculation each lamp brightness value after demonstrating location.Present invention employs maximum average value method and calculate each lamp brightness value, both take into account the importance of LED high-brightness region to brightness calculation, and considered again the complicacy of LED fringe region brightness.First this algorithm finds out the average brightness value of whole display image, and in this, as threshold value.Under piecemeal localization method, calculate each pixel gray-scale value of rectangular area, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, thus calculate the average gray value of this segmented areas, and for being less than the pixel of threshold value, be then regarded as background value.Then with 10 for step-length increases threshold value, until threshold value is less than or equal to max pixel value 255, and the said process that circulates, obtain the gray scale maximum average value of each square areas, in this, as the brightness value of each LED.
(4) the brightness detection of lamp point is carried out according to examination criteria.Calculate using the average brightness of each lamp as standard value, the lamp point being less than overall brightness mean value is considered as the inadequate point of brightness, and pixel zero setting all in the rectangular partition region at inadequate for brightness lamp point place, then demonstrate the brightness value size of each lamp and final result image.
The present invention has been dissolved into digital image processing techniques in the testing process of LED display module, proposes a kind of LED display module fast algorithm of detecting of view-based access control model.In an embodiment in the present invention, LED display adopts the LED display module of a width simulation to carry out imaging, and the brightness value of wherein several LED is arranged lower.The imaging region of simulation picture is 11 × 8, Fig. 2 is imaging effect figure.
In order to check algorithm accuracy in actual applications, we have added a little noise in fig. 2 and have detected, have added the image of noise as shown in Figure 3.In addition, we have downloaded again 17 × 11LED display screen actual imaging figure from the Internet, and its imaging results as shown in Figure 4.
From Fig. 2, we can be clearly seen that the brightness value of 8 LED is starkly lower than other lamps, and in LED display actual imaging, the inadequate lamp point of some brightness is not that naked eyes can directly be found out, so in order to contrast and experiment more effectively, we have also turned down the brightness value of other several lamps.To Fig. 2 and Jia, Fig. 3 of noise detects, and the brightness value testing result obtained is as shown in Figure 6, Figure 7.
The data of comparison diagram 5, Fig. 6 and Fig. 7, we can see, no matter are that the computing method herein for each lamp brightness value are all feasible, and the error of measurement result is little for not having noise and having added the analog image of noise.Equally, the online figure downloaded is detected, obtains the testing result of its brightness value as shown in Figure 8.
Known from Fig. 9, Figure 10, Figure 11, detection algorithm of the present invention can detect the lamp point that brightness is inadequate fast and accurately.It not only can find out the lamp point of different grey-scale, and concrete gray-scale value can be detected, and can realize the production automation.
The LED module fast algorithm of detecting of this view-based access control model, Image semantic classification comprises image gray processing, image filtering, Morphological scale-space and histogram equalization.Because the type of wave filter is different, pre-service image effect is out also different, and this has direct impact by follow-up testing result.The present invention finds that Gaussian filter is remarkable to random noise filtration result, can effective filtering edge noise, makes follow-up piecemeal detection and localization can be more accurate.
When positioning lamp point, the optimized algorithm of piecemeal location is proposed according to adaptive boundary search procedure and gray level image mathematical morphological operation method, first mathematical morphology open operator is carried out to gray level image, then block image segmentation is carried out to LED display, for each LED point divides equal-sized region, brightness in each region is similar to evenly, and in this region, contain this LED pipe become all pixels of image.
Adopt maximum average value method to calculate the brightness value of each lamp, first find out the average brightness value of whole display image, and in this, as threshold value.Under piecemeal localization method, calculate each pixel gray-scale value of rectangular area, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, thus calculate the average gray value of this segmented areas, and for being less than the pixel of threshold value, be then regarded as background value.Then with 10 for step-length increases threshold value, until threshold value is less than or equal to max pixel value 255, and the said process that circulates, obtain the gray scale maximum average value of each square areas, in this, as the brightness value of each LED.
Calculate using the average brightness of each lamp as standard value, the lamp point being less than overall brightness mean value is considered as the inadequate point of brightness, and pixel zero setting all in the rectangular partition region at inadequate for brightness lamp point place, then demonstrate the brightness value size of each lamp and final result image.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and describe embodiments of the invention, those having ordinary skill in the art will appreciate that: can carry out multiple change, amendment, replacement and modification to these embodiments when not departing from principle of the present invention and aim, scope of the present invention is by claim and equivalents thereof.
Claims (4)
1. a LED module brightness uniformity method for quick for view-based access control model, is characterized in that, comprise the steps:
S1, gathers the luminescent image of LED module, to carrying out filtering to image after image gray processing process, gray processing process, filtered image being carried out Morphological scale-space, then the image after Morphological scale-space being carried out histogram equalization process;
S2, is positioned each LED point by piecemeal location algorithm, and this LED point is carried out gray proces, this LED point after gray proces is carried out mathematical morphology open operator, obtains brightness value and the mean value of this LED point;
S3, traversal LED module in each LED point after, according to arrange threshold value carry out LED point brightness detect; Calculate using the average brightness of each lamp as standard value, the LED point being less than overall brightness mean value is considered as the inadequate point of brightness, and pixel zero setting all in the rectangular partition region at inadequate for brightness lamp point place, then demonstrate the brightness value size of each LED point and final result.
2. the LED module brightness uniformity method for quick of view-based access control model according to claim 1, it is characterized in that, described S1 comprises the steps:
Image gray processing algorithm:
Process coloured image being transformed into gray level image becomes the gray processing process of image; The color of each pixel in the coloured image collected has R, G, B tri-components, and the gray processing Processing Algorithm of image is: I=0.3R+0.59G+0.11B, and in formula, I is grey scale pixel value, and R, G, B are the redgreenblue component value of coloured image;
Histogram equalization process: algorithm of histogram equalization is divided into three steps, the first step is the number of times that each gray level of statistic histogram occurs, second step is accumulative normalized histogram, 3rd step calculates new pixel value, the histogram equalization operator histeq in MATLAB can be adopted to realize: I=histeq (I
0), in formula, I
0for the image before histogram equalization, I is the image after histogram equalization;
Image filtering: for the point-like noise occurred in the image that elimination gathers is on the impact of subsequent algorithm, present treatment adopts the method for medium filtering to carry out filtering; Filter window size is 9 × 9, and the value of any in digital picture or Serial No. is replaced with the Mesophyticum of each point value in 9 × 9 neighborhoods of this point, eliminates isolated noise spot; Two dimension median filter exports as g (x, y)=med{f (x-k, y-l), (k, l ∈ W) }, wherein, f (x, y), g (x, y) are respectively original image and the rear image of process; W is two dimension pattern plate, med for getting intermediate value, for being generally 9 × 9 regions in this filtering;
Morphological scale-space: adopt the opening operation in mathematical morphology to complete; The specific algorithm of opening operation is the process of first corroding rear expansion; Its specific algorithm is:
in formula, X is the region of the pending opening operation of input; B is the structural element of opening operation, adopt in this algorithm be 3 × 3 structural element.
3. the LED module brightness uniformity method for quick of view-based access control model according to claim 1, it is characterized in that, described S2 comprises the steps:
On pretreated image, lamp point is positioned.Each LED pipe of display screen is rendered as a round spot shape region on become image, and the pixel number wherein comprised is very large.Meanwhile, putting in order between LED point is fixing and known.In order to effectively locate each lamp point, the present invention takes piecemeal location algorithm to position LED point; In processing procedure, first mathematical morphology open operator is carried out to gray level image, to eliminate some independently noise region of being scattered in gray level image, and disconnect the narrow and small connection existed between isolated area, then block image segmentation is carried out to LED display, for each LED point divides equal-sized region, make the brightness in each region be similar to evenly, and in this region, contain this LED pipe become all pixels of image.In the ordinary course of things, LED point region should be region the brightest in whole screen, but, in actual imaging, the interference of other luminous objects may be subject to.Therefore in above-mentioned section technique process, according to being this principle of high gray-scale value in target area, interference region can be removed.Namely calculate each pixel gray-scale value of segmented areas, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, and for being less than the pixel of threshold value, be then regarded as background value.
4. the LED module brightness uniformity method for quick of view-based access control model according to claim 1, it is characterized in that, described S3 comprises the steps:
LED brightness calculation each lamp brightness value after demonstrating location.Present invention employs maximum average value method and calculate each lamp brightness value, both take into account the importance of LED high-brightness region to brightness calculation, and considered again the complicacy of LED fringe region brightness; First this algorithm finds out the average brightness value of whole display image, and in this, as threshold value.Under piecemeal localization method, calculate each pixel gray-scale value of rectangular area, and compare with threshold value, record in this region and be greater than all pixel numbers of threshold value and the summation of gray-scale value, thus calculate the average gray value of this segmented areas, and for being less than the pixel of threshold value, be then regarded as background value.Then with 10 for step-length increases threshold value, until threshold value is less than or equal to max pixel value 255, and the said process that circulates, obtain the gray scale maximum average value of each square areas, in this, as the brightness value of each LED.
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