CN104160439A - Display unevenness detection method and device for display device - Google Patents
Display unevenness detection method and device for display device Download PDFInfo
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/04—Diagnosis, testing or measuring for television systems or their details for receivers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/66—Transforming electric information into light information
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0233—Improving the luminance or brightness uniformity across the screen
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0285—Improving the quality of display appearance using tables for spatial correction of display data
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/029—Improving the quality of display appearance by monitoring one or more pixels in the display panel, e.g. by monitoring a fixed reference pixel
- G09G2320/0295—Improving the quality of display appearance by monitoring one or more pixels in the display panel, e.g. by monitoring a fixed reference pixel by monitoring each display pixel
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0693—Calibration of display systems
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2360/00—Aspects of the architecture of display systems
- G09G2360/14—Detecting light within display terminals, e.g. using a single or a plurality of photosensors
- G09G2360/145—Detecting light within display terminals, e.g. using a single or a plurality of photosensors the light originating from the display screen
- G09G2360/147—Detecting light within display terminals, e.g. using a single or a plurality of photosensors the light originating from the display screen the originated light output being determined for each pixel
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Abstract
The present invention detects the display unevenness of a display device with high accuracy. The output image data of the display image of a liquid crystal panel display (3), which is obtained from a CCD camera (5), is addressed, the pixel value of each pixel of the liquid crystal panel display (3) is acquired, and then each differential pixel value is acquired. Subsequently, the differential pixel value of each pixel is compared with an unevenness determination threshold value, and a group of adjacent pixels of which the differential pixel value is above the unevenness determination threshold value is detected as the display unevenness occurrence area. Then, the degree of the display unevenness per display unevenness occurrence area is calculated, the value thus obtained is compared with an unevenness degree threshold value, and an occurrence area having a value that is over the unevenness degree threshold value is finally detected as the display unevenness. As a consequence, it is possible to primarily detect areas functioning as display unevenness candidates, narrow down the detected areas by means of the magnitude of the display unevenness degree value, and finally detect the display unevenness that can be visibly acknowledged as a display unevenness. Therefore, it is possible to detect the display unevenness of the liquid crystal panel display (3) with a higher accuracy than when the differential pixel value of each pixel is acquired by means of the difference between the output image data and the input image data.
Description
Technical field
The present invention relates to a kind of inhomogeneous method detecting of demonstration to display device and device.
Background technology
By the shown image of display device being taken and the view data photographing being compared inhomogeneous this technology of demonstration of detection display equipment with showing the view data of use, eliminate to show on inhomogeneous it is useful in the view data that shows use by utilizing the calibration substance of extrapolating based on this technology to proofread and correct.In the publication communique JP 2010-57149 of Japan Office communique, JP 2005-150349 communique, the technology being associated is disclosed.
Patent documentation 1: TOHKEMY 2010-57149 communique
Patent documentation 2: TOHKEMY 2005-150349 communique
Summary of the invention
the problem that invention will solve
On the demonstration of detection display equipment is inhomogeneous, the inventor is in order to realize the further raising of accuracy of detection, studied the shown image of display device is taken and the specific analytical method of the view data that obtains.In this process, understand that the concrete analytical approach of view data can be on showing that inhomogeneous accuracy of detection brings impact.The present invention completes in view of the above problems, the object of the present invention is to provide a kind of with the demonstration of higher accuracy detection display device inhomogeneous method and device.
for the scheme of dealing with problems
The inhomogeneous detection method of demonstration that a mode of the present invention is a kind of display device, comprises the following steps:
Pixel value obtaining step, according to the shown image of display device is taken to the output image data obtaining, obtains the pixel value of each pixel of above-mentioned display device;
Differentiation step, obtains the differential pixel value of each pixel of above-mentioned display device;
Non-uniform areas detecting step, exceedes the distribution of the pixel of the inhomogeneous judgment threshold of regulation according to the above-mentioned differential pixel value of above-mentioned display device, detect the inhomogeneous generation region of above-mentioned demonstration in above-mentioned display device;
Intensity level obtaining step, according to above-mentioned pixel value or the above-mentioned differential pixel value of each pixel that belongs to above-mentioned generation region, obtains the inhomogeneous intensity level of demonstration in above-mentioned generation region; And
Show inhomogeneous detecting step, detecting above-mentioned intensity level, to exceed the above-mentioned generation region of inhomogeneous intensity threshold of regulation inhomogeneous as above-mentioned demonstration.
In addition, the inhomogeneous pick-up unit of demonstration that another mode of the present invention is a kind of display device, possesses:
Pixel value acquiring unit, its each pixel value by the output image data that the shown image taking of display device is obtained is assigned to each pixel of above-mentioned display device, obtains the pixel value of each pixel of above-mentioned display device;
Differentiation element, it obtains the differential pixel value of each pixel of above-mentioned display device;
Pixel value comparing unit, it compares the above-mentioned differential pixel value of each pixel of above-mentioned display device and the inhomogeneous judgment threshold of regulation;
Non-uniform areas detecting unit, it exceedes the pixel of above-mentioned inhomogeneous judgment threshold distribution according to above-mentioned differential pixel value, detects the inhomogeneous generation region of above-mentioned demonstration in above-mentioned display device;
Intensity level acquiring unit, above-mentioned pixel value or above-mentioned differential pixel value that its basis belongs to each pixel in above-mentioned generation region, obtain the inhomogeneous intensity level of demonstration in above-mentioned generation region;
Intensity level comparing unit, its inhomogeneous intensity threshold by above-mentioned intensity level and regulation compares; And
Show inhomogeneous detecting unit, it detects above-mentioned intensity level, and to exceed the above-mentioned generation region of inhomogeneous intensity threshold of regulation inhomogeneous as above-mentioned demonstration.
the effect of invention
According to a mode of the present invention, the distribution that first exceedes the pixel of inhomogeneous judgment threshold according to differential pixel value comes the inhomogeneous generation region of detection display equipment.And, by the inhomogeneous intensity level of demonstration in the each generation region getting according to the pixel value in each generation region or differential pixel value exceed the generation region of inhomogeneous intensity threshold final detect as showing inhomogeneous.Therefore first, will be, to show inhomogeneous generation region as the region one-time detection that shows inhomogeneous candidate.And, to show that the height of inhomogeneous intensity level comes the generation region that lock-in detection goes out, finally to detect thus that to be visually identified as inhomogeneous demonstration inhomogeneous.Therefore, with come according to the distribution of differential pixel value simply detection display inhomogeneous compared with, can be inhomogeneous with the demonstration of higher accuracy detection display device.
Brief description of the drawings
Fig. 1 is the key diagram that represents to come with the related inhomogeneous pick-up unit of demonstration of the first embodiment of the present invention the inhomogeneous state of the demonstration of detection display equipment.
Fig. 2 is the process flow diagram of the inhomogeneous pick-up unit of the demonstration of the presentation graphs 1 inhomogeneous testing process of demonstration of carrying out.
Fig. 3 is the process flow diagram of the concrete process of the differential processing of presentation graphs 2.
Fig. 4 is the key diagram that obtains principle for the integration pixel value in the Integral Processing of the pixel presentation graphs 3 of the left side near zone of liquid crystal panel displays.
Fig. 5 is the key diagram that obtains principle for the integration pixel value in the Integral Processing of the pixel presentation graphs 3 of the top near zone of liquid crystal panel displays.
Fig. 6 is the key diagram that obtains principle for the integration pixel value in the Integral Processing of presentation graphs 3 in the pixel of the upper left corner near zone of liquid crystal panel displays.
Fig. 7 is the process flow diagram of the concrete process of the differential processing of presentation graphs 2.
Fig. 8 is the key diagram of emphasizing the principle of processing of presentation graphs 7.
Fig. 9 (a), (b) are the image of differential output image data before treatment and the key diagrams of each pixel value of part liquid crystal panel displays that Fig. 1 is shown.
Figure 10 (a), (b) are the image of differential output image data after treatment and the key diagrams of each pixel value of part liquid crystal panel displays that Fig. 1 is shown.
Figure 11 represents that pixel that the differential pixel value that Figure 10 (b) illustrated exceedes inhomogeneous judgment threshold added the key diagram of the state of label value.
Figure 12 is the key diagram that represents to obtain prospect (FG) in the inhomogeneous generation region of the required demonstration of SEMU value and the position relationship of background (BG).
Figure 13 is the inhomogeneous pick-up unit of demonstration that represents to utilize Fig. 1 to showing the process flow diagram of checking process of liquid crystal panel displays of inhomogeneous testing result.
Embodiment
Below, application the embodiment of the inhomogeneous pick-up unit of demonstration of the inhomogeneous detection method of demonstration of the present invention.The inhomogeneous pick-up unit of demonstration of the present invention can form with the online form that is installed to inspection line (not shown) in the manufacturing process of display device etc., also can form with unit form from checking that line etc. disconnects and independently.
In addition, for example, as can, by the inhomogeneous display device of the inhomogeneous pick-up unit detection display of demonstration of the present invention, having liquid crystal panel displays, plasma panel display, OLED display etc.In the following embodiments, being liquid crystal panel displays taking display device describes as example.
As shown in Figure 1, the inhomogeneous pick-up unit 1 of demonstration of present embodiment forms with unit form, according to using CCD camera 5 to take to images such as the shown test patterns of liquid crystal panel displays 3 (being equivalent to display device) output image data obtaining, the demonstration that detects liquid crystal panel displays 3 is inhomogeneous.If there is no obstacle in processing power, show that inhomogeneous pick-up unit 1 for example can be made up of personal computer etc.
Show that inhomogeneous pick-up unit 1 has CPU (central processing unit), RAM (random access memory), ROM (ROM (read-only memory)), hard disk etc.CPU is stored in the program of ROM or hard disk by execution, carry out the inhomogeneous Check processing of demonstration of liquid crystal panel displays 3.
As shown in Figure 2, the inhomogeneous Check processing of demonstration that shows the liquid crystal panel displays 3 that inhomogeneous pick-up unit 1 carries out comprises that output image data obtains that processing (step S1), addressing and Moire fringe Transformatin (step S3), differential processing (step S5), differential threshold decision (threshold decision, binaryzation) are processed (step S7), inhomogeneous intensity computing (step S9), (step S11) processed in inhomogeneous intensity threshold judgement (secondary threshold decision) and (step S13) processed in result output.
Obtain in processing at the output image data of step S1, for example make liquid crystal panel displays 3 according to from showing that the input image data that inhomogeneous pick-up unit 1 offers liquid crystal panel displays 3 shows the images such as test pattern, show that inhomogeneous pick-up unit 1 obtains to take the signal of video signal from CCD camera 5 that its display frame the obtains output image data as liquid crystal panel displays 3.
At this, the demonstration producing in liquid crystal panel displays 3 exists the even irregular colour of brightness disproportionation even in inhomogeneous, in the inhomogeneous pick-up unit 1 of demonstration of present embodiment, all can detect the even irregular colour of brightness disproportionation is even.Therefore, in liquid crystal panel displays 3, suitably change rgb value pattern, show to be suitable for the inhomogeneous image of sensed luminance, to be suitable for detecting the even image of irregular colour.And, show that inhomogeneous pick-up unit 1 carries out the inhomogeneous detection action of demonstration based on following process to each image.
In the addressing of step S3 is processed, each pixel of the ccd sensor of CCD camera 5 is assigned to each pixel of liquid crystal panel displays 3, extrapolates the pixel value of each pixel of liquid crystal panel displays 3 according to the pixel value of each pixel of the ccd sensor of formation output image data.
In addition,, in the situation that display device is organic EL panel display, plasma panel display, also a light-emitting component is carried out to addressing processing as a pixel.
In addition, liquid crystal panel displays 3 has respectively pixel arrangement is become to rectangular grid pattern with ccd sensor.And CCD camera 5 has than the pixel of liquid crystal panel displays more than 3, therefore receive the image light from a pixel of liquid crystal panel displays 3 by multiple pixels of CCD camera 5.Therefore, the pixel value of each pixel of liquid crystal panel displays 3 is for example decided by the highest pixel of pixel value in multiple pixels of the CCD camera 5 corresponding with this pixel.
Now, if CCD camera 5 has the pixel of the integral multiple of liquid crystal panel displays 3, between the pixel period of CCD camera 5 and the pixel period of liquid crystal panel displays 3, do not produce phase differential.Therefore,, in the case of each pixel of liquid crystal panel displays 3 is luminous with identical pixel value, the pixel that in the pixel of the CCD camera 5 corresponding with each pixel, pixel value is the highest becomes identical pixel value mutually.Thereby, in taking the photographs of obtained CCD camera 5, the demonstration image to liquid crystal panel displays 3 do not produce Moire fringe.
But, in the time that CCD camera 5 has the pixel of quantity of the integral multiple that is not liquid crystal panel displays 3, between the pixel period of CCD camera 5 and the pixel period of liquid crystal panel displays 3, produce phase differential.Therefore,, in the case of each pixel of liquid crystal panel displays 3 is luminous with identical pixel value, the pixel that in the pixel of the CCD camera 5 corresponding with each pixel, pixel value is the highest does not become identical pixel value mutually yet.Because causing in the demonstration image to liquid crystal panel displays 3 is taken the photographs of obtained CCD camera 5, this reason produces Moire fringe.
When directly the output image data from CCD camera 5 during for the inhomogeneous detection of the demonstration of liquid crystal panel displays 3, likely being caused showing inhomogeneous error detection under the state that is comprising this Moire fringe.
Therefore,, in step S3, together with processing with addressing, carry out Moire fringe Transformatin.In Moire fringe Transformatin, for example the applicant uses the pixel value of the each pixel that makes ccd sensor that proposes in the related application of TOHKEMY 2004-317329 communique and its neighboring pixel to be added or the method for equalization, removes the Moire fringe composition in output image data.
In addition, in the situation that display device is organic EL panel display, plasma panel display, light-emitting component is also configured to rectangular grid pattern, together with therefore same Moire fringe Transformatin being processed with addressing, is effective.But Moire fringe Transformatin is not necessary, the Moire fringe producing in the time that detection display is inhomogeneous is not cause the situation of degree of obstacle inferior, also can omit Moire fringe Transformatin.
In the differential of step S5 is processed, the pixel value of each pixel of having carried out addressing processing and Moire fringe Transformatin liquid crystal panel displays 3 afterwards in step S3 is carried out to differential, obtain differential pixel value.Also can obtain this differential pixel value by the general differential processing of the difference of the pixel value for obtaining object pixel and its neighboring pixel.
But, in the present embodiment, in the differential of step S5 is processed, as shown in Figure 3, carry out the pixel value of each pixel and the difference processing (step S53) of integration pixel value of emphasizing to process (step S51), Integral Processing (step S51) and liquid crystal panel displays 3 of the pixel value of each pixel of liquid crystal panel displays 3.
In the Integral Processing of step S51, the pixel value of each pixel and the pixel value of neighboring pixel that usage space wave filter carries out the liquid crystal panel displays 3 after addressing processing and Moire fringe Transformatin in the step S3 of Fig. 2 average to carry out integration, thereby obtain integration pixel value.
Spatial filter need to have the inhomogeneous matrix shape of demonstration that 3 of liquid crystal panel displays of covering can produce as used herein.Therefore, spatial filter has and 3 inhomogeneous corresponding size of cores of the demonstration that can produce of liquid crystal panel displays.For example, if show the inhomogeneous size likely with 100 × 100 amount of pixels that are liquid crystal panel displays 3 to the maximum, the spatial filter that is used in integration is also made as to 100 × 100 size of cores.By the way, the value of each kernel is " 1 ", the inverse (=1/ (100 × 100)) that coefficient is interior check figure.
In addition, in the time that usage space wave filter carries out the Integral Processing of step S51, in the time that the object pixel for integration (integration pixel value obtain object pixel) approaches any of neighboring up and down of liquid crystal panel displays 3, a part of kernel row of spatial filter spill into the outside of liquid crystal panel displays 3.
At this, with reference to Fig. 4 and Fig. 5, the situation that the pixel value of the each pixel taking the spatial filter 40 that uses integration to use (spatial filter of size of cores corresponding to the shape inhomogeneous with the demonstration of display device and size) to liquid crystal panel displays 3 carries out integration describes as example.In addition,, in example described herein, as the sample that below represents respectively of the rightmost of Fig. 4, Fig. 5, schematically the size of cores of spatial filter 40 is made as to 7 × 7.Each kernel value is made as " 1 " by this spatial filter 40, the coefficient of each kernel is made as to the inverse (=1/ (7 × 7)) of all interior check figure.
First,, in Fig. 4, illustrate that spatial filter 40 is with respect to the relation between the position relationship on the left side 31 of liquid crystal panel displays 3 and effective kernel row.In this example, by spatial filter 40 to carry out integration to the pixel till the 3rd pixel from the left side 31 time (with reference to the example till to the 3rd from top of Fig. 4), the kernel row (1 row～3 row) in the left side of spatial filter 40 are crossed the left side 31 of liquid crystal panel displays 3 and are spilt into outside.
In the kernel row in outside that spill into liquid crystal panel displays 3, there is not corresponding pixel column, therefore in the time of Integral Processing, need to make these kernel row invalid.Therefore, the kernel of kernel row of spatial filter 40 in the outside that spills into the left side 31 is made as to invalid (kernel value=" 0 ").
In addition, in the time that by spatial filter 40, the pixel after to the 4th pixel from the left side 31 is carried out integration (with reference to the 4th the later example from top of Fig. 4), the inner side of spatial filter 40 entirety in liquid crystal panel displays 3.In this case, the pixel corresponding with whole kernels exists respectively, therefore do not need to be in principle made as invalid kernel (row).
In addition, use spatial filter 40 that Fig. 4 is carried out to the content that left and right reversion obtains to carry out Integral Processing to the Integrating pixel being present in the near zone on the right of liquid crystal panel displays 3.
As shown in Figure 5, the top 35 that approaches liquid crystal panel displays 3 at spatial filter 40, also can similarly move.; Integrating pixel in from top 35 to till the 3rd pixel in the situation that (with reference to the example till to the 3rd from right-hand of Fig. 5), the kernel row of the upside of spatial filter 40 (crosses the top 35 of liquid crystal panel displays 3 and spills into outside by 1 row～3 row.Therefore, the kernel of kernel row of spatial filter 40 in the outside that spills into top 35 is made as to invalid (kernel value=" 0 ").
In addition, be from top 35 after the 4th pixel in the situation that (with reference to the example of the 4th～leftmost side from right-hand of Fig. 5) in Integrating pixel, the inner side of spatial filter 40 entirety in liquid crystal panel displays 3 therefore need to not be made as invalid kernel (row) in principle in spatial filter 40.
In addition, use reverse the up and down spatial filter 40 of the content that obtains of Fig. 5 is carried out to Integral Processing to the Integrating pixel being present in the following near zone of liquid crystal panel displays 3.
In addition, in the liquid crystal panel displays 3 of use backlight, particularly configure light source and use light guide plate leaded light to picture central authorities in the periphery edge of picture, because light is decayed in light guide plate, and relative low blackening is compared near the brightness easily producing the brightness of picture central authorities and the neighboring of picture.In not using the display device of backlight, plasma panel display, organic EL panel display etc. also can produce this blackening.
Therefore, in the present embodiment, near neighboring in Integrating pixel in liquid crystal panel displays 3 time, make spatial filter 40 there is the directivity of the direction identical with the bearing of trend on limit nearby, reduce the sensitivity of the direction orthogonal with the bearing of trend on this limit, integration pixel value is carried out to blackening correction.
For example be made as near the left side 31 of the liquid crystal panel displays 3 shown in Fig. 4, easily producing blackening to the near zone 33 on the left side 31 of whole seven pixel wide till sensitivity correction line 32 from the left side 31.In this case, be present near zone 33 when interior in the object pixel of carrying out integration by spatial filter 40, spatial filter 40 is had to the directivity of the bearing of trend on the left side 31.And, by being made as in principle 3 row with the effective kernel row of the orthogonal direction (laterally) in the left side 31, size of cores is made as to vertical × horizontal=7 × 3.
But, in the example of the top of Fig. 4, being superimposed upon wanting in the adjacent pixel in the left side of central Integrating pixel of spatial filter 40 is made as effective kernel and is listed as from the left side 31 of spatial filter 40 and overflows laterally, therefore, exceptionally, effective size of cores is made as to vertical × horizontal=7 × 2.
Similarly, be made as near the top 35 of the liquid crystal panel displays 3 shown in Fig. 5, easily producing blackening to the near zone 37 of the top 35 of whole seven pixel wide till sensitivity correction line 36 from top 35.In this case, be present near zone 37 when interior in the object pixel of carrying out integration by spatial filter 40, spatial filter 40 is had to the directivity of the bearing of trend of top 35.And, by being made as in principle 3 row with the effective kernel row of the orthogonal direction (longitudinally) in top 35, size of cores is made as to vertical × horizontal=3 × 7.
But, in the example of the rightmost of Fig. 5, be superimposed upon wanting in the pixel that the upside of Integrating pixel is adjacent and be made as effective kernel and be listed as from the top 35 of spatial filter 40 and overflow laterally, therefore, exceptionally, effective size of cores is made as to vertical × horizontal=2 × 7.
In addition, in the case of easily producing blackening to the Integrating pixel in the near zone that is present in the right of whole seven pixel wide till sensitivity correction line (not shown) from the right of liquid crystal panel displays 3, use the spatial filter 40 that Fig. 4 is carried out to the content that left and right reversion obtains to carry out Integral Processing.Similarly, in the case of from liquid crystal panel displays 3 below to whole seven pixel wide till sensitivity correction line (not shown) be present in the Integrating pixel in following near zone easily produce blackening, use reverse the up and down spatial filter 40 of obtained content of Fig. 5 carried out to Integral Processing.
Like this, for near the Integrating pixel neighboring of liquid crystal panel displays 3, can by use have to approach the spatial filter 40 that uses limit bearing of trend directivity and effective size of cores is made as to the spatial filter 40 of vertical × horizontal=7 × 2 or 2 × 7,7 × 3 or 3 × 7, when the pixel value of Integrating pixel is carried out to integration, carry out blackening correction.
In addition,, in the time that Integrating pixel is present in specific sensitivity compensation line 32,36 more by the inner side of liquid crystal panel displays 3, the effective size of cores of the spatial filter of the integration for this pixel 40 can be made as to 7 × 7 in principle.But, just when Integrating pixel from crossing sensitivity correction line 32,36 and move on to the inner side of liquid crystal panel displays 3 near zone 33,37 when, the effective size of cores of spatial filter 40 becomes at 7 × 7 o'clock from vertical × horizontal=7 × 3 or 3 × 7, integral characteristic sharply changes, therefore also not preferred.
Therefore, also can be than near zone 33,37 Integrating pixel be more in the inner part near sensitivity correction line 32,36, along with away near zone 33,37, make the effective size of cores of spatial filter 40 slowly be changed to vertical × horizontal=7 × 5 or 5 × 7,7 × 7.
In addition, above-mentioned vertical × size of cores of horizontal=7 × 7 is the example in explanation all the time, the size of cores of spatial filter as long as with 3 inhomogeneous corresponding sizes of the demonstration that can produce of liquid crystal panel displays, be arbitrarily.And, about the spatial filter using in the integration of Integrating pixel of neighboring that approaches liquid crystal panel displays 3, spatial filter 40 shown in Fig. 4 and Fig. 5, by being made as variablely with effective kernel columns of the orthogonal direction of the bearing of trend on limit nearby, make sensitivity there is directivity.
For example, the size of cores that has 15 × 15 at spatial filter, along with Integrating pixel is away near zone 33,37, can make effective size of cores of spatial filter be changed to successively 15 × 5 or 5 × 15,15 × 7 or 7 × 15,15 × 9 or 9 × 15,15 × 11 or 11 × 15,15 × 13 or 13 × 15,15 × 15 via multiple stages from vertical × horizontal=15 × 3 or 3 × 15.
In addition, in the situation that not needing to consider that above-mentioned blackening is proofreaied and correct, also, can the spatial filter 40 shown in Fig. 4 and Fig. 5, make the kernel of columns identical with the kernel row of periphery avris of liquid crystal panel displays 3 that are made as invalid kernel or that approach these kernel row also ineffective treatment in the kernel row of the center side of liquid crystal panel displays 3.If be made as this spline structure, can make the directivity (sensitivity) of the spatial filter 40 in the direction orthogonal with the left side 31, top 35 (or the right, following) of liquid crystal panel displays 3 for Integrating pixel equalization.That is, do not needing to consider blackening timing, whether also setting invalid kernel row in the center side of liquid crystal panel displays 3 is arbitrarily.
In addition, as shown in Figure 6, in four jiaos of liquid crystal panel displays 3, two near zones 33,37 of the left side 31 and top 35 are overlapping for example.Therefore, nearby overlapping region 39, region 33,37 is interior while there is Integrating pixel, add up to the spatial filter 40 kernel row of ineffective treatments respectively that use shown in Fig. 4 and Fig. 5, and the kernels of 2～3 row of the left and right of spatial filter 40 and upper and lower each direction are made as invalid.In this case, also do not needing to consider blackening timing, whether also on vertical and horizontal, setting respectively invalid kernel row in the center side of liquid crystal panel displays 3 is arbitrarily.
In addition, in the demonstration of liquid crystal panel displays 3 is inhomogeneous, both had that on both direction in length and breadth, to have respectively the demonstration of size to a certain degree inhomogeneous, also had the inhomogeneous of wire that longitudinal or horizontal size is little.Compared with inhomogeneous with the demonstration on both direction in length and breadth with size to a certain degree, the inhomogeneous inhomogeneous scope (area) of wire is little, therefore in the time carrying out Integral Processing, drawn and integration pixel value step-down by the pixel value of neighboring pixel, exist and be difficult to be detected as the inhomogeneous trend of demonstration.
Therefore, during the differential of the step S5 of the Fig. 2 that also can carry out in the time of inhomogeneous detection of wire to longitudinally or transversely size is little is processed, as shown in Figure 7, before the similarly Integral Processing of the step S51 of execution graph 3 and the difference processing of step S53, emphasize as pre-service to process (step S50).
Step S50 emphasize process, make the inhomogeneous pixel value of longitudinal or horizontal wire equalization and reduce noise contribution on the inhomogeneous bearing of trend of wire.Fig. 8 illustrates the inhomogeneous situation of emphasizing processing of the wire to extending in the vertical.In this case, use and the inhomogeneous spatial filter 50 of emphasizing to process use (emphasizing with spatial filter) in the vertical in the same manner with directivity (having arranged effective kernel) of wire.This spatial filter 50 is only made as effective kernel (kernel value=" 1 ") by vertical 1 row of its lateral center in the size of cores of n × n, and other is made as to invalid kernel (kernel value=" 0 ").Effectively the coefficient of kernel is the inverse (=1/n) of effectively interior check figure n.In addition the situation of n=9 shown in Figure 8.
During inhomogeneous the emphasizing of wire in the step S50 of Fig. 7 that has used this spatial filter 50 processed, the pixel value of the neighboring pixel that the pixel value of the inhomogeneous part of wire is identical with following longitudinal effectively interior check figure n averages.Thus, the inhomogeneous longitudinal border of wire is made clear, be easily detected as demonstration inhomogeneous.
In addition, inhomogeneous the emphasizing of wire of extending in the horizontal used the directive spatial filter (not shown) of emphasizing to process use of tool in the horizontal in processing.In addition, for the intensive spot defect in point-like ground, emphasize that by carrying out this processing declines the pixel value of pixel value and neighboring pixel matchingly, be therefore difficult to by error detection inhomogeneous for showing.
In the case of carry out above-mentioned explanation step S50 emphasize process, carry out the Integral Processing of the step S51 of Fig. 7 with the pixel value of each pixel of emphasizing liquid crystal panel displays 3 after treatment, thereby obtain integration pixel value.Also can be in the time carrying out this Integral Processing, as illustrated with reference to Fig. 4 and Fig. 5, make a part of kernel row ineffective treatment of spatial filter 50 according to the position relationship of the neighboring of Integrating pixel and liquid crystal panel displays 3.
Then, in the difference processing of the step S53 of Fig. 3, Fig. 7, obtain the difference of the integration pixel value after the pixel value of each pixel and the Integral Processing of step S51 of carrying out the liquid crystal panel displays 3 before the Integral Processing of step S51, obtain the differential pixel value of this difference as each pixel of liquid crystal panel displays 3.As mentioned above, finish the differential processing of the step S5 of Fig. 2.
In addition the pixel value before, two figure shown in the side of the step S51 of Fig. 3 express the Integral Processing of step S51 and in certain horizontal a line of liquid crystal panel displays 3 after treatment distributes.After these two charts are compared, known in the time carrying out the Integral Processing of step S51 of Fig. 3, Fig. 7, extract the low-frequency component of the pixel value variation of liquid crystal panel displays 3.Occur, the skew of pixel value, in the low-frequency component extracting, to comprise this side-play amount in the pixel entirety of liquid crystal panel displays 3.
In addition, the pixel value that the figure shown in the side of the step S53 of Fig. 3 expresses in certain the horizontal a line of the liquid crystal panel displays 3 after the difference processing of step S53 distributes.Observe after this chart, known in the time carrying out the difference processing of step S53 of above-mentioned Fig. 3, Fig. 7, only extract from the pixel value of liquid crystal panel displays 3 and change and removed the radio-frequency component that low-frequency component obtains.Pixel entirety in liquid crystal panel displays 3 occurs the skew of pixel value, and side-play amount is also excluded as low-frequency component.
Thereby, in the differential of the step S5 of Fig. 2 is processed, by carrying out Integral Processing, the difference processing of step S51, step S53 of above-mentioned Fig. 3, Fig. 7, compared with obtaining the situation of object pixel and the general differential processing of the difference of the pixel value of its neighboring pixel, can detect accurately by the region of pixel that shows the inhomogeneous liquid crystal panel displays 3 that causes the gap that has pixel value between neighboring pixel.
In addition, in the Integral Processing of the step S51 of Fig. 3, the pixel value of each pixel of having carried out the liquid crystal panel displays 3 after addressing processing and Moire fringe Transformatin in the step S3 of Fig. 2 is carried out to integration.On the other hand, in the Integral Processing of the step S51 of Fig. 7, the pixel value of the each pixel of emphasizing the liquid crystal panel displays 3 after processing to step S50 carries out integration., even identical Integral Processing is also different for the pixel value of each pixel of the liquid crystal panel displays 3 of Integral Processing in the Integral Processing of the Integral Processing of the step S51 of Fig. 3 and the step S51 of Fig. 7.
Therefore, by inhomogeneous inhomogeneous and the longitudinal or horizontal wire on both direction in length and breadth with size to a certain degree all detect for show inhomogeneous, the differential that need to carry out respectively the process based on Fig. 3 is processed and the differential processing of process based on Fig. 7.In this case, serial or the differential that carries out concurrently the process based on Fig. 3 are processed and the differential of process based on Fig. 7 is processed.
At this, image and the pixel value of the output image data of the liquid crystal panel displays 3 of the differential that the step S5 of Fig. 2 is described with reference to Fig. 9 and Figure 10 before and after processing.
In the output image data of the differential of the step S5 first, being made as at Fig. 2 liquid crystal panel displays 3 before processing, exist the demonstration of the image that Fig. 9 (a) illustrate inhomogeneous.(b) such value that the pixel value of the corresponding pixel of liquid crystal panel displays 3 is now Fig. 9.In addition, for ease of explanation, in Fig. 9 (b), do not use each value of RGB, will represent that the deep or light brightness of picture carries out the pixel value that value (mean value=100) that standardization obtains represents each pixel but use.
Therefore, in the time that the pixel value that Fig. 9 (b) illustrated is implemented the differential processing of step S5 of Fig. 2, as shown in Figure 10 (b), only pixel value is 1000 higher than the pixel value of average pixel, and the pixel value of other pixel is 0.In the time that this situation is represented with image, as shown in Figure 10 (a), show that inhomogeneous and poor contrast its periphery become and be greater than differential that Fig. 9 (a) the illustrate poor contrast before processing, show inhomogeneously to become clear.
Then, in the differential threshold decision (threshold decision) of the step S7 of Fig. 2 is processed, by the pixel value illustrating as Figure 10 (b), differential pixel value and the inhomogeneous judgment threshold of each pixel of liquid crystal panel displays 3 compare to carry out binaryzation.Inhomogeneous judgment threshold is the threshold value that likely produces the pixel that shows inhomogeneous region (showing inhomogeneous generation region) for determine whether liquid crystal panel displays 3 according to differential pixel value.
And, as shown in figure 11, differential pixel value is exceeded to the pixel distributing labels value of inhomogeneous judgment threshold, be the pixel distribution " 0 " below inhomogeneous judgment threshold to differential pixel value.Label value is in abutting connection with the aggregate forming as a value that shows that inhomogeneous generation region adds uniquely to the inhomogeneous generation region of each demonstration using the pixel that exceedes inhomogeneous judgment threshold.Thereby, the pixel in the inhomogeneous generation region of same demonstration is distributed to identical label value.In addition, use " 1 " above integer for label value.
Then,, in the inhomogeneous intensity computing of the step S9 of Fig. 2, calculate and show inhomogeneous intensity for the inhomogeneous generation region of each demonstration.For showing inhomogeneous intensity, for example can use will be by SEMU (SEMI MURA) value after Semiconductor Equipment and Materials International (semiconductor equipment and material structure) (SEMI, registered trademark) standardization.At this, the computing method of SEMU value are described.
In the calculating of SEMU value, need to show inhomogeneous generation region average contrast Cx, show the inhomogeneous concentration C jnd of demonstration of the area Sx in inhomogeneous generation region and people's perception limit.Average contrast Cx is the brightness (average brightness of pixel in region) that the brightness of neighboring pixel that shows inhomogeneous generation region is made as to the inhomogeneous generation region of the demonstration representing with number percent in 100% situation.Use mm
2represent area Sx.Represent the inhomogeneous concentration C jnd of demonstration of perception limit by the function F (Sx) of area Sx that shows inhomogeneous generation region.
In the time obtaining above-mentioned average contrast Cx for the inhomogeneous each generation region of demonstration, need to be to each generation region foregrounding (Fore Ground:FG) and background (Back Ground:BG).For example, the inhomogeneous generation region of the demonstration of the shape illustrating at Fig. 9 (a) and Figure 10 (a), as shown in figure 12, show that inhomogeneous generation region becomes FG, become BG from FG across the annular section of two pixel wide of periphery of two pixels.Therefore, obtain respectively average brightness value for the each pixel that belongs to FG with the each pixel that belongs to BG, be made as FG value and BG value.
Then, use following formula (1), obtain average contrast Cx according to FG value and BG value,
Cx=(FG value-BG value)/BG value (1).
In addition, use following formula (2) to obtain the inhomogeneous concentration C jnd of demonstration of perception limit,
Cjnd＝F(Sx)＝1.97×(1/Sx
0.33)+0.72···(2)。
Then, use following formula (3) to obtain SEMU value,
SEMU value=| Cx|/Cjnd (3).
As mentioned above, in the calculating of SEMU value, use average contrast Cx, area Sx, therefore need to know the correct shape that shows inhomogeneous generation region.According to this point, also can be from determining that according to the processing of emphasizing of getting rid of the step S50 by carrying out Fig. 7 the object of the inhomogeneous intensity of SEMU value calculating the wire in the inhomogeneous generation region of demonstration is inhomogeneous.Its reason is, in the situation that wire is inhomogeneous, the shape that is identified as showing inhomogeneous generation region is because prime emphasizes to process and likely from the inhomogeneous shape of original wire, some variations occur.
And, in the inhomogeneous intensity threshold judgement (secondary threshold decision) of the step S11 of Fig. 2 is processed, the value of the inhomogeneous intensity in generation the region inhomogeneous demonstration calculating in step S9 (SEMU value) and intensity threshold are compared.Intensity threshold is for judging that according to the value of inhomogeneous intensity final detection is the threshold value that shows the inhomogeneous generation region of inhomogeneous demonstration.This intensity threshold is set as detecting the minimum inhomogeneous intensity level for showing the inhomogeneous generation region of inhomogeneous demonstration.
And the inhomogeneous generation region of demonstration that inhomogeneous intensity level is exceeded to intensity threshold is detected as showing inhomogeneous.On the other hand, the inhomogeneous generation region of demonstration that inhomogeneous intensity level is not no more than to intensity threshold is detected as showing inhomogeneous.The demonstration detecting is inhomogeneous finally in the result output of step S13 is processed, be associated with location of pixels and inhomogeneous intensity level in liquid crystal panel displays 3, be used as showing inhomogeneous testing result information and be output to and show the outside of inhomogeneous pick-up unit 1.
More than for showing the full content of the inhomogeneous Check processing of demonstration of inhomogeneous pick-up unit 1 liquid crystal panel displays 3 of carrying out.And in the present embodiment, the step S3 in the process flow diagram of Fig. 2 becomes the processing corresponding with pixel value acquiring unit (pixel value obtaining step) in claim.In addition, in the present embodiment, step S5 in Fig. 2 becomes the processing corresponding with differentiation element (differentiation step) in claim, and the step S7 in Fig. 2 becomes the processing corresponding with pixel value comparing unit in claim and non-uniform areas detecting unit (region detecting step).
And, in the present embodiment, step S9 in Fig. 2 becomes the processing corresponding with intensity level acquiring unit (intensity level obtaining step), and the step S11 in Fig. 2 becomes with intensity level comparing unit in claim and shows the processing that inhomogeneous detecting unit (showing inhomogeneous detecting step) is corresponding.
In addition, in the present embodiment, the step S50 in the process flow diagram of Fig. 7 becomes and the processing that unit (emphasizing step) is corresponding of emphasizing in claim.And, in the present embodiment, step S51 in the process flow diagram of Fig. 3 and Fig. 7 becomes the processing corresponding with integral unit (integration step) in claim, and the step S53 in Fig. 3 and Fig. 7 becomes the processing corresponding with difference unit (difference step) in claim.
In addition, show the inhomogeneous testing result information of demonstration that inhomogeneous pick-up unit 1 is exported for example can be used in liquid crystal panel displays 3 according to each demonstration inhomogeneous have or not, its content generates the correction data for input image data that elimination that storage keeps shows inhomogeneous use.Particularly, if by showing that inhomogeneous pick-up unit 1 is arranged at dispatching from the factory of liquid crystal panel displays 3 in online mode and checks line etc., can make to show that inhomogeneous detection operation cooperates with the operation of front and back.
In this case, unified management is dispatched from the factory and is checked the controller (not shown) of line, respectively the cell controller of the each operation in boundary of administration is (not shown, about showing inhomogeneous detection operation, show that inhomogeneous pick-up unit 1 is equivalent to this cell controller) carry out following process.
; as shown in figure 13; in step S101; carry out the inhomogeneous Check processing of demonstration with reference to the inhomogeneous pick-up unit 1 of demonstration of the flowchart text of Fig. 2, then show inhomogeneous (step S103) according to showing that the inhomogeneous testing result information of demonstration that inhomogeneous pick-up unit 1 is exported detects whether to exist.In the situation that not existing demonstration inhomogeneous (step S103: "No"), be judged as certified products, finish the inspection operation relevant with the liquid crystal panel displays 3 that checks object.
On the other hand, in the situation that existing demonstration inhomogeneous (step S103: "Yes"), show that by representing output number of times and set point number that inhomogeneous pick-up unit 1 detects for this liquid crystal panel displays 3 the check result information that shows the inhomogeneous meaning compare (step S105).Then, in the situation that output number of times exceedes set point number (step S105: "Yes"), be judged as substandard products, finish the inspection operation relevant with the liquid crystal panel displays 3 that checks object.
On the other hand, show that in the case of detecting the output number of times of inhomogeneous this testing result information does not exceed (step S105: "No") set point number, carry out the generation processing (step S107) that shows the inhomogeneous correction data for input image data of demonstration that inhomogeneous pick-up unit 1 detects for eliminating.
Dispatch from the factory and check that cell controller that the correction data generation unit (not shown) of line has carries out the generation processing of correction data.In the flash memory (not shown) of driving circuit that is built in liquid crystal panel displays 3, newly write or cover the correction data that renewal generates by cell controller.If this correction data is suitable content, in the time that input image data is input to driving circuit, utilize the correction data of reading from flash memory to apply to offset to input image data and show inhomogeneous correction, from the display frame of liquid crystal panel displays 3, eliminate demonstration inhomogeneous.
Then, after the generation of the correction data of step S107 is processed, again turn back to step S101, carry out the inhomogeneous Check processing of demonstration carrying out with reference to the inhomogeneous pick-up unit 1 of demonstration of the flowchart text of Fig. 2.Thereby, even the renewal of the correction data that shows inhomogeneous Check processing and liquid crystal panel displays 3 is carried out to set point number repeatedly, also show inhomogeneous in the situation that showing that inhomogeneous pick-up unit 1 continues to detect, this liquid crystal panel displays 3 is judged as to substandard products.
As described above, according to the inhomogeneous pick-up unit 1 of the demonstration of present embodiment, the output image data of the demonstration image of the liquid crystal panel displays 3 getting from CCD camera 5, obtain the pixel value of each pixel of liquid crystal panel displays 3, further obtain differential pixel value, and compare with inhomogeneous judgment threshold.Then the neighbor cluster that, differential pixel value is exceeded to inhomogeneous judgment threshold first detects as showing inhomogeneous generation region.
Then, calculate and show inhomogeneous intensity for the inhomogeneous each generation region of each demonstration, be worth with inhomogeneous intensity threshold and compare, in the situation that exceeding inhomogeneous intensity threshold, by inhomogeneous for showing final this generation region detection.
Therefore first, will be, to show inhomogeneous generation region as the region one-time detection that shows inhomogeneous candidate.Then, to show that the height of inhomogeneous intensity level comes the generation region that lock-in detection goes out, and finally detects the clearly demonstration that visually also can be identified inhomogeneous thus.Therefore, with distribution from differential pixel value simply detection display inhomogeneous compared with, can be inhomogeneous with the demonstration of higher accuracy detection liquid crystal panel displays 3.
In addition also can omit in order to detect wire structure inhomogeneous and that carry out together with the differential processing that comprises the process flow diagram of emphasizing the Fig. 7 processing is processed with the differential of the process flow diagram of Fig. 3.In addition, also can be omitted in the Integral Processing of step S51 of Fig. 3, Fig. 7 time, as illustrated with reference to Fig. 4 and Fig. 5, make the structure of a part of kernel row ineffective treatment of spatial filter 50 according to the position relationship of the neighboring of Integrating pixel and liquid crystal panel displays 3.And, also can evaluate and show inhomogeneous intensity with the value beyond SEMU value.
Then, as stated in the beginning, the inhomogeneous detection method of demonstration of the present invention and having applied the inhomogeneous detection of the demonstration of the liquid crystal panel displays 3 that the inhomogeneous pick-up unit of demonstration of the method illustrates in being used in above-mentioned embodiment, also can be used in the inhomogeneous detection of demonstration in the display devices such as plasma panel display, OLED display.
utilizability in industry
Can widespread use in the time that the demonstration that carrys out detection display equipment by image processing is inhomogeneous.
description of reference numerals
1: show inhomogeneous pick-up unit; 3: liquid crystal panel displays; 5:CCD camera; 31: the left side; 32,36: sensitivity correction line; 33,37: near zone; 35: top; 39: region; 40,50: spatial filter.
Claims (8)
1. the inhomogeneous detection method of the demonstration of display device, comprises the following steps:
Pixel value obtaining step, according to the shown image of display device is taken to the output image data obtaining, obtains the pixel value of each pixel of above-mentioned display device;
Differentiation step, obtains the differential pixel value of each pixel of above-mentioned display device;
Non-uniform areas detecting step, exceedes the distribution of the pixel of the inhomogeneous judgment threshold of regulation according to the above-mentioned differential pixel value of above-mentioned display device, detect the inhomogeneous generation region of demonstration in above-mentioned display device;
Intensity level obtaining step, according to above-mentioned pixel value or the above-mentioned differential pixel value of each pixel that belongs to above-mentioned generation region, obtains the inhomogeneous intensity level of demonstration in above-mentioned generation region; And
Show inhomogeneous detecting step, detecting above-mentioned intensity level, to exceed the above-mentioned generation region of inhomogeneous intensity threshold of regulation inhomogeneous as above-mentioned demonstration.
2. the inhomogeneous detection method of the demonstration of display device according to claim 1, is characterized in that,
Also possesses the step of emphasizing, emphasize in step at this, use directive the emphasizing of tool on the bearing of trend inhomogeneous as the above-mentioned demonstration of detected object with spatial filter, the pixel value of the neighboring pixel of each pixel value of above-mentioned display device and above-mentioned bearing of trend to be averaged
In above-mentioned differentiation step, for obtaining above-mentioned differential pixel value by the pixel value of above-mentioned each pixel of emphasizing the above-mentioned display device after step averages.
3. the inhomogeneous detection method of the demonstration of display device according to claim 1 and 2, is characterized in that, above-mentioned differentiation step comprises the following steps:
Integration step, by the spatial filter of using size of cores corresponding to the shape inhomogeneous with the demonstration of above-mentioned display device and size, the pixel value of each pixel value of above-mentioned display device and neighboring pixel is averaged to carry out integration, obtain the integration pixel value of each pixel of above-mentioned display device; And
Difference step, obtains the differential pixel value of each pixel of above-mentioned display device according to the difference of the above-mentioned pixel value of each pixel of above-mentioned display device and above-mentioned integration pixel value.
4. the inhomogeneous detection method of the demonstration of display device according to claim 3, is characterized in that,
In the case of obtaining the arbitrary region in the near zone of each neighboring that object pixel belongs to above-mentioned display device of above-mentioned integration pixel value, in above-mentioned integration step, the above-mentioned spatial filter that use has reduced the sensitivity of the direction orthogonal with the above-mentioned bearing of trend that obtains the corresponding limit of near zone under object pixel, carries out integration to the above-mentioned pixel value that obtains object pixel.
5. the inhomogeneous pick-up unit of the demonstration of display device, possesses:
Pixel value acquiring unit, its each pixel value by the output image data of the shown image of display device being taken and obtain is assigned to each pixel of above-mentioned display device, obtains the pixel value of each pixel of above-mentioned display device;
Differentiation element, it obtains the differential pixel value of each pixel of above-mentioned display device;
Pixel value comparing unit, it compares the above-mentioned differential pixel value of each pixel of above-mentioned display device and the inhomogeneous judgment threshold of regulation;
Non-uniform areas detecting unit, it exceedes the pixel of above-mentioned inhomogeneous judgment threshold distribution according to above-mentioned differential pixel value, detects the inhomogeneous generation region of demonstration in above-mentioned display device;
Intensity level acquiring unit, above-mentioned pixel value or above-mentioned differential pixel value that its basis belongs to each pixel in above-mentioned generation region, obtain the inhomogeneous intensity level of demonstration in above-mentioned generation region;
Intensity level comparing unit, its inhomogeneous intensity threshold by above-mentioned intensity level and regulation compares; And
Show inhomogeneous detecting unit, it detects above-mentioned intensity level, and to exceed the above-mentioned generation region of inhomogeneous intensity threshold of regulation inhomogeneous as above-mentioned demonstration.
6. the inhomogeneous pick-up unit of the demonstration of display device according to claim 5, is characterized in that,
Also possesses the unit of emphasizing, this emphasizes that unit uses the directive use spatial filter of emphasizing of tool on the bearing of trend inhomogeneous as the above-mentioned demonstration of detected object, the pixel value of the neighboring pixel of each pixel value of above-mentioned display device and above-mentioned bearing of trend is averaged
Above-mentioned differentiation element is for obtaining above-mentioned differential pixel value by the pixel value of above-mentioned each pixel of emphasizing the above-mentioned display device after unit averages.
7. according to the inhomogeneous pick-up unit of the demonstration of the display device described in claim 5 or 6, it is characterized in that, above-mentioned differentiation element possesses:
Integral unit, it averages the pixel value of each pixel value of above-mentioned display device and neighboring pixel to carry out integration by the spatial filter of using size of cores corresponding to the shape inhomogeneous with the demonstration of above-mentioned display device and size, obtains the integration pixel value of each pixel of above-mentioned display device; And
Difference unit, its difference according to the above-mentioned pixel value of each pixel of above-mentioned display device and above-mentioned integration pixel value is obtained the differential pixel value of each pixel of above-mentioned display device.
8. the inhomogeneous pick-up unit of the demonstration of display device according to claim 7, is characterized in that,
Above-mentioned integral unit obtains the arbitrary region in the near zone of each neighboring that object pixel belongs to above-mentioned display device in the case of above-mentioned integration pixel value, the above-mentioned spatial filter that use has reduced the sensitivity of the direction orthogonal with the above-mentioned bearing of trend that obtains the corresponding limit of near zone under object pixel, carries out integration to the above-mentioned pixel value that obtains object pixel.
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Also Published As
| Publication number | Publication date |
|---|---|
| KR101640118B1 (en) | 2016-07-15 |
| CN104160439B (en) | 2017-03-01 |
| JPWO2013128617A1 (en) | 2015-07-30 |
| JP6041858B2 (en) | 2016-12-14 |
| TWI501626B (en) | 2015-09-21 |
| TW201338501A (en) | 2013-09-16 |
| KR20140133882A (en) | 2014-11-20 |
| WO2013128617A1 (en) | 2013-09-06 |
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