KR20140133882A - 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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- 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
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- 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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- 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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- 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 display irregularity of the display device is detected with higher accuracy. The output image data of the display image of the liquid crystal panel display 3 acquired from the CCD camera 5 is addressed to acquire the pixel value of each pixel of the liquid crystal panel display 3 and acquire the respective differential pixel value. Then, the differential pixel value of each pixel is compared with the non-uniformity determination threshold value, and the adjacent pixel group whose differential pixel value exceeds the non-uniformity determination threshold value is detected as the display non-uniformity occurrence area. Then, the intensity of the display irregularity is calculated for each display irregularity occurrence area, the value is compared with the irregularity intensity threshold value, and if the irregularity intensity threshold value is exceeded, the occurrence area is finally detected as display irregularity. Thereby, it is possible to detect the display non-uniformity candidates first, to narrow the detected area to the intensity of the display non-uniformity intensity value, and to finally detect the display non-uniformity that is visually recognized as the display non-uniformity. This makes it possible to detect display irregularities of the liquid crystal panel display 3 with higher accuracy than to obtain the differential pixel values of the respective pixels by the difference between the output image data and the input image data.
Description
The present invention relates to a method and apparatus for detecting a display unevenness (UNEVENNESS) of a display device.
The display irregularity of the display device is detected by photographing the image displayed by the display device and comparing the captured image data with the display image data by correcting the display image data with the correction contents found on the basis of the detected display irregularity It is useful in solving the problem. Related arts are disclosed in Japanese Patent Application Laid-Open No. Heisei No. 2010-57149 and Japanese Patent Application Laid-Open No. 2005-150349.
In detecting display unevenness of a display device, the present inventors have studied a specific method of analyzing image data obtained by photographing an image displayed by a display device in order to further improve detection accuracy. In the process, it has been found that the specific analysis method of the image data has an influence on the detection accuracy of the display unevenness. SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and an object of the present invention is to provide a method and an apparatus for detecting display irregularities of a display device with higher precision.
A feature of the present invention is that,
A pixel value acquiring step of acquiring a pixel value of each pixel of the display device based on output image data obtained by capturing an image displayed by the display device;
A differentiating step of obtaining a differential pixel value of each pixel of the display device,
A nonuniform region detecting step of detecting an occurrence region of the display unevenness in the display device based on a distribution of pixels in which the differential pixel value of the display device exceeds a predetermined nonuniformity determination threshold value;
An intensity value acquiring step of acquiring a display unevenness intensity value of the generation area based on the pixel value or the differential pixel value of each pixel belonging to the generation area;
And a display unevenness detecting step of detecting the generation area in which the intensity value exceeds a predetermined non-uniformity intensity threshold, as the display unevenness.
According to another aspect of the present invention,
Pixel value acquisition means for assigning each pixel value of output image data acquired by capturing an image displayed by the display device to each pixel of the display device and acquiring a pixel value of each pixel of the display device;
Differentiating means for obtaining a differential pixel value of each pixel of the display device,
Pixel value comparison means for comparing the differential pixel value of each pixel of the display device with a predetermined non-uniformity determination threshold value;
Uneven area detecting means for detecting an area in which the display unevenness occurs in the display device based on a distribution of pixels in which the differential pixel value exceeds the non-uniformity determining threshold value;
Intensity value acquisition means for acquiring a display non-uniformity intensity value of the generation region based on the pixel value or the differential pixel value of each pixel belonging to the generation region;
Intensity value comparing means for comparing the intensity value with a predetermined non-uniformity intensity threshold value,
And display non-uniformity detecting means for detecting, as the display non-uniformity, the generation region in which the intensity value exceeds a predetermined non-uniformity intensity threshold value.
According to an aspect of the present invention, a nonuniformity occurrence area of a display device is first detected from a distribution of pixels whose differential pixel values exceed a nonuniformity determination threshold value. Finally, a generation region in which the display non-uniformity intensity value of each generation region acquired from the pixel value or differential pixel value of each generation region exceeds the non-uniformity intensity threshold value is finally detected as the display non-uniformity. Therefore, first, a region that is a display unevenness candidate is detected as a display nonuniformity occurrence region. Then, the detected generation area is narrowed to the intensity of the display non-uniformity intensity value, and the display non-uniformity that is visually recognized is finally detected. Therefore, it is possible to detect the display irregularities of the liquid crystal panel display with higher precision, compared with simply detecting the display irregularities from the distribution of the differential pixels.
1 is an explanatory diagram showing a state in which display irregularities of a display device are detected using a display irregularity detecting device according to a first embodiment of the present invention.
Fig. 2 is a flowchart showing a display unevenness detecting procedure performed by the display unevenness detecting apparatus of Fig. 1. Fig.
3 is a flowchart showing a specific procedure of the differential processing of FIG.
Fig. 4 is an explanatory diagram showing the principle of acquiring the integral pixel value in the integration process of Fig. 3 with respect to the pixels in the vicinity of the left side of the liquid crystal panel display. Fig.
Fig. 5 is an explanatory diagram showing the principle of acquiring an integral pixel value in the integration process of Fig. 3 with respect to pixels in a region near the upper side of the liquid crystal panel display. Fig.
Fig. 6 is an explanatory diagram showing the principle of acquiring an integral pixel value in the integration process of Fig. 3 with respect to a pixel in a region near the upper left corner of the liquid crystal panel display. Fig.
7 is a flowchart showing a specific procedure of the differential processing of FIG.
8 is an explanatory view showing the principle of emphasis processing in Fig.
Figs. 9A and 9B are explanatory views partially showing an image of output image data before differential processing of the liquid crystal panel display of Fig. 1 and respective pixel values. Fig.
10 (a) and 10 (b) are explanatory views partially showing an image of output image data after differential processing of the liquid crystal panel display of Fig. 1 and respective pixel values.
FIG. 11 is an explanatory diagram showing a state in which a label value is given to a pixel whose differential pixel value shown in FIG. 10 (b) exceeds a non-uniformity determination threshold value.
12 is an explanatory view showing a positional relationship between a foreground (FG) and a background (BG) in a display irregularity occurrence area necessary for obtaining a SEMU value.
13 is a flowchart showing an inspection procedure of a liquid crystal panel display using the detection result of display unevenness by the display unevenness detecting apparatus of Fig.
Hereinafter, an embodiment of the display unevenness detecting apparatus to which the display unevenness detecting method of the present invention is applied will be described. The display unevenness detecting apparatus of the present invention can be configured in an inline format included in an inspection line (not shown) or the like in a manufacturing process of a display device, or configured in a standalone format You may.
Further, examples of display devices capable of detecting display irregularities in the display unevenness detecting apparatus of the present invention include a liquid crystal panel display, a plasma panel display, and an organic EL display. In the following embodiments, the case where the display device is a liquid crystal panel display will be described as an example.
As shown in Fig. 1, the display
The display
The display unevenness detecting process of the liquid
In the output image data acquisition processing in step S1, an image such as a test pattern is displayed on the liquid
Here, the display irregularity occurring in the liquid
In the addressing process of step S3, each pixel of the CCD sensor of the
Even when the display device is an organic EL panel display or a plasma panel display, an addressing process is performed by using one light emitting element as one pixel.
The liquid
At this time, if the
However, if the
If the output image data from the
Thus, in step S3, the moiré removal processing is performed together with the addressing processing. In the moiré elimination process, for example, a method of adding or averaging the pixel values of pixels of the CCD sensor and the peripheral pixels proposed by the present applicant in Japanese Patent Application Laid-Open No. 2004-317329, Moire component in the output image data is removed.
Even when the display device is an organic EL panel display or a plasma panel display, since the light emitting elements are arranged in a matrix-like lattice pattern, it is effective to perform the same moiré removal processing together with the addressing processing. However, the moire removal processing is not essential, and moiré removal processing may be omitted in a case where the occurrence of the moire fringe does not hinder the detection of the display irregularity.
In the differential processing of step S5, the pixel values of the respective pixels of the liquid
3, emphasis processing (step S51), integration processing (step S51) of the pixel value of each pixel of the liquid
In the integration process of step S51, the pixel values of the pixels of the liquid
The spatial filter used here needs to have a matrix shape that covers display irregularities that may occur in the liquid
When the integrating process in step S51 is performed using the spatial filter, the pixel to be integrated (pixel to be acquired of the integral pixel value) is displayed on any one of the upper, lower, right and left outer peripheries of the liquid
4 and 5, the pixel value of each pixel of the liquid
4 shows the relationship between the position of the
Since there is no corresponding pixel column in the kernel column protruding outside the liquid
When the pixels on the fourth pixel from the
For the integration target pixel existing in the vicinity of the right side of the liquid
As shown in Fig. 5, the case where the
5), the entire
For the integration target pixel existing in the lower vicinity region of the liquid
In the liquid
Thus, in the present embodiment, when the integration target pixel is located near the outer periphery of the liquid
For example, in the vicinity of the
4, the kernel column to be validated, which overlaps with the pixel adjacent to the left of the pixel to be integrated in the
Likewise, in the vicinity of the
However, in the rightmost example of Fig. 5, since the high kernel column to be validated which overlaps with the pixel adjacent to the upper side of the integration object pixel protrudes outward from the
In the case where shading is likely to occur in the integration subject pixel existing in the area near the right side reaching the width of seven pixels from the right side of the liquid
As described above, with respect to the pixel to be integrated in the vicinity of the outer periphery of the liquid
When the integration target pixel is located inside the liquid
Accordingly, as the integration target pixel located inside the neighboring
However, the above-described kernel size of length x width = 7 x 7 is merely a description example, and the kernel size of the spatial filter can be arbitrarily set as long as it corresponds to the display irregularity that may occur in the liquid
For example, when the spatial filter has a kernel size of 15 x 15, the effective kernel size of the spatial filter is changed from 15 x 3 15 x 13 or 15 x 9 or 9 x 15, 15 x 11 or 11 x 15, 15 x 13 or 13 x 15, or 15 x 5, 15 x 5 or 5 x 15, 15 x 7 or 7 x 15, 15, can be changed through many steps.
Even if it is not necessary to consider the above-described shading correction, it is also possible to use the
In the four corners of the liquid
Incidentally, the display unevenness of the liquid
Therefore, as shown in Fig. 7, in the differential processing of step S5 in Fig. 2, which is performed to detect linear nonuniformity of small size in the longitudinal direction or the transverse direction, the integral processing of step S51 of Fig. 3 and the differential processing of step S53 The emphasis process (step S50) may be performed as a preprocess before performing the same processing.
In the emphasis processing in step S50, the pixel value of the linear heterogeneity in the vertical direction or the horizontal direction is averaged in the extending direction of the linear heterogeneity to reduce the noise component. Fig. 8 shows a case in which emphasis processing of linear nonuniformity extending in the longitudinal direction is performed. In this case, the emphasis processing spatial filter 50 (emphasis spatial filter) having directionality in the longitudinal direction (in which the effective kernels are arranged) is used like the linear nonuniformity. The
In the linear non-uniformity enhancement processing using the
For emphasizing linear non-uniformity extending in the horizontal direction, a spatial filter (not shown) for directional emphasis processing in the horizontal direction may be used. Further, with respect to dot defects densely densely arranged in a dot shape, since the pixel value is lowered in accordance with the pixel value of surrounding pixels by performing this emphasis processing, misdetection as a display irregularity becomes difficult.
In the case of performing the emphasizing process in the above-described step S50, the integrating process in step S51 in Fig. 7 is performed using the pixel value of each pixel of the liquid
3 or 7, the difference between the pixel value of each pixel of the liquid
The two graphs next to step S51 in Fig. 3 show the pixel value distribution in one horizontal line direction in which the liquid
The graph next to step S53 in FIG. 3 shows the pixel value distribution in one horizontal line direction with the liquid
Therefore, in the differential processing in step S5 in Fig. 2, by performing the integration processing and the difference processing in steps S51 and S53 in Fig. 3 or Fig. 7 described above, it is possible to calculate the difference between the pixel value of the target pixel and its surrounding pixels It is possible to detect the pixel region of the liquid
Incidentally, in the integrating process of step S51 in Fig. 3, the pixel values of the respective pixels of the liquid
Therefore, when nonuniformity having a certain size in both the horizontal and vertical directions and linear nonuniformity in the vertical direction or the horizontal direction are detected together as display unevenness, the differential processing according to the procedure of Fig. 3 and the procedure of Fig. 7 Respectively. In this case, differential processing by the procedure of Fig. 3 and differential processing by the procedure of Fig. 7 may be performed in serial or parallel.
Here, the image and the pixel value of the output image data of the liquid
First, it is assumed that display unevenness of the image shown in Fig. 9 (a) exists in the output image data of the liquid
Therefore, if the differential processing by the step S5 in FIG. 2 is performed on the pixel values shown in FIG. 9B, as shown in FIG. 10B, only the pixels having a pixel value higher than the average become 1000 , And the other pixels have pixel values of zero. As shown in Fig. 10 (a), the contrast difference between the display irregularities and the surroundings thereof is larger than the contrast difference before the differential processing shown in Fig. 9 (a), and the display irregularity becomes clear.
Next, in the differential threshold value determination (first threshold value determination) processing of step S7 in Fig. 2, the pixel value shown in Fig. 10B, that is, the differential pixel value of each pixel of the liquid
11, a label value is assigned to a pixel whose differential pixel value exceeds a nonuniformity determination threshold value, and " 0 " is assigned to a pixel whose differential pixel value is equal to or lower than a nonuniformity determination threshold value. The label value is a value uniquely assigned to each display non-uniformity occurrence area, with the adjacent aggregate of pixels exceeding the non-uniformity determination threshold as one display non-uniformity occurrence area. Therefore, the same label value is assigned to the pixels in the same display nonuniformity occurrence region. An integer of "1" or more is used for the label value.
Next, in the nonuniform intensity calculation process of step S9 in Fig. 2, the intensity of the display irregularity is calculated for each display irregularity occurrence area. For example, a value of SEMI (SEMI MURA) standardized by Semiconductor Equipment and Materials International (SEMI, registered trademark) can be used for the intensity of display unevenness. Here, a calculation method of the SEMU value will be described.
The calculation of the SEMU value requires the average contrast Cx of the display irregularity occurrence area, the area Sx of the display irregularity occurrence area, and the darkness degree Cjnd of the display irregularity of the detection limit by the human. The average contrast Cx is the luminance (average value of luminance of pixels in the area) in the display unevenness occurrence area indicated by "%" when the luminance of the peripheral pixels in the display non-uniformity occurrence area is 100%. The area Sx is expressed in mm 2 . The degree of darkness Cjnd of the display irregularity of the detection limit is represented by a function F (Sx) of the area Sx of the display irregularity occurrence area.
It is necessary to set the foreground (FG) and the background (BG) for each generation region in order to obtain the above-described average contrast Cx for each occurrence region of display irregularity. For example, in the case of the display irregularity occurrence area having the shape shown in Figs. 9 (a) and 10 (a), as shown in Fig. 12, the display irregularity occurrence area becomes FG, And the annular area having a width of two pixels around it becomes BG. Accordingly, an average luminance value is obtained for each pixel belonging to the FG and each pixel belonging to the BG, and is regarded as an FG value and a BG value.
Next, the following formula (1)
Cx = (FG value-BG value) / BG value (1)
, The average contrast Cx is obtained from the FG value and the BG value.
Further, by using the following formula (2)
Cjnd = F (Sx) = 1.97 × (1 /
Obtain the degree of darkness Cjnd of the display unevenness of the detection limit.
Then, using the following equation (3)
SEMU value = | Cx | / Cjnd (3)
Obtain the SEMU value.
As described above, since the average contrast Cx and the area Sx are used for calculation of the SEMU value, it is necessary to know the exact shape of the display irregularity occurrence area. In this regard, linear nonuniformity in which the emphasis processing in step S50 in Fig. 7 is performed to specify the display irregularity occurrence area may be excluded from the object for which the uneven intensity is calculated by the SEMU value. This is because, in the case of linear non-uniformity, there is a possibility that the shape recognized as the display nonuniformity occurrence area is somewhat changed from the original linear nonuniformity shape by the emphasis processing at the preceding stage.
In the non-uniformity intensity threshold value determination (second threshold value determination) processing of step S11 in Fig. 2, the value of the uneven intensity (SEMU value) of the display irregularity occurrence area calculated in step S9 is compared with the intensity threshold value . The intensity threshold value is a threshold for judging the display non-uniformity occurrence area to be detected as the display non-uniformity finally by the value of the non-uniformity intensity. This intensity threshold value is set to the lowest uneven intensity value of the display irregularity occurrence area to be detected as the display irregularity.
The display non-uniformity occurrence area where the nonuniformity intensity value exceeds the intensity threshold value is detected as display non-uniformity. On the other hand, the display unevenness occurrence area where the nonuniformity intensity value does not exceed the intensity threshold value is not detected as display unevenness. Finally, in the result output processing of step S13, the detected display irregularity is related to the pixel position in the liquid
The above is the entire contents of the display unevenness detecting process of the liquid
2 is a process corresponding to the intensity value obtaining means (intensity value obtaining step), and step S11 in Fig. 2 corresponds to the intensity value comparing means and the display unevenness detecting means Display unevenness detecting step).
In this embodiment, step S50 in the flowchart of Fig. 7 corresponds to the emphasis means (emphasis step) in the claims. In this embodiment, step S51 in the flow charts of Figs. 3 and 7 corresponds to the integration means (integration step) in the claims, and step S53 in Fig. 7 corresponds to the difference means in the claims ).
The display irregularity detection result information output from the display
In such a case, a controller (not shown) for managing the shipment inspection line as a whole and a unit controller for individually managing each process on the line (not shown, the display
That is, as shown in Fig. 13, in step S101, the display unevenness detecting process is performed by the display
On the other hand, when there is a display irregularity (YES in step S103), the number of times the display
On the other hand, when the number of times of outputting the detection result information that detects the display irregularity does not exceed the set number (NO in step S105), the input image data for eliminating display irregularity detected by the display irregularity detecting device 1 (Step S107).
The correction data generation process is executed by the unit controller of the correction data generation unit (not shown) of the shipment inspection line. The generated correction data is newly written into the flash memory (not shown) of the driver circuit built in the liquid
Then, after the correction data generating process in step S107, the process returns to step S101 to perform the display unevenness detecting process by the display
As described above, according to the display
Subsequently, the intensity of the display unevenness is calculated for each display non-uniformity occurrence area, the value is compared with the non-uniformity intensity threshold value, and if the non-uniformity intensity threshold value is exceeded, the occurrence area is finally detected as display unevenness.
Therefore, first, a region that is a display unevenness candidate is detected as a display nonuniformity occurrence region. Then, the detected generation region is narrowed to the intensity of the display non-uniformity intensity value, and the apparent display non-uniformity that is visually recognized is finally detected. Therefore, the display irregularity of the liquid
In order to detect the linear non-uniformity, the differential processing of the flowchart of FIG. 7 including emphasis processing may be omitted together with the differential processing of the flowchart of FIG. 3. 4 and 5, depending on the positional relationship between the integration object pixel and the outer periphery of the liquid
As described in the foregoing, the display unevenness detecting method of the present invention and the display unevenness detecting apparatus to which the present invention is applied are not limited to the liquid
[Industrial applicability]
It is widely applicable when detecting display irregularities of display devices by image processing.
1: display unevenness detecting device
3: LCD panel display
5: CCD camera
31: Left side
32, 36: Sensitivity correction line
33, 37: neighborhood area
35:
39: area
40, 50: Spatial filter
Claims (8)
A differentiating step of obtaining a differential pixel value of each pixel of the display device,
A non-uniform area detecting step of detecting the display non-uniformity occurrence area in the display device based on a distribution of pixels in which the differential pixel value of the display device exceeds a predetermined non-uniformity determination threshold value;
An intensity value acquiring step of acquiring a display unevenness intensity value of the generation area based on the pixel value or the differential pixel value of each pixel belonging to the generation area;
A display unevenness detecting step of detecting, as the display unevenness, the generation area in which the intensity value exceeds a predetermined non-uniformity intensity threshold value,
And detecting a display irregularity of the display device.
Further comprising an emphasizing step of averaging each pixel value of the display device with a pixel value of a surrounding pixel in the extending direction using an emphasis spatial filter having directionality in the extending direction of the display unevenness to be detected And the differential pixel value is obtained for the pixel value of each pixel of the display device averaged by the emphasis step in the differentiation step.
Wherein the differentiation step comprises:
Integrates each pixel value of the display device with a pixel value of peripheral pixels by using a kernel-size spatial filter corresponding to the shape and size of display irregularities of the display device, An integration step of obtaining an integral pixel value of the pixel,
A difference step of obtaining a differential pixel value of each pixel of the display device by a difference between the pixel value and the integral pixel value in each pixel of the display,
And detecting a display irregularity of the display device.
In the case where the pixel to be acquired of the integral pixel value belongs to any one of the neighboring regions of the outer periphery of each of the display devices, in the integrating step, the extending direction of the side corresponding to the neighborhood region, And the pixel value of the pixel to be acquired is integrated by using the spatial filter in which the sensitivity in the direction in which the pixel is to be obtained is reduced.
Differentiating means for obtaining a differential pixel value of each pixel of the display device,
Pixel value comparison means for comparing the differential pixel value of each pixel of the display device with a predetermined non-uniformity determination threshold value;
Uneven area detecting means for detecting an area in which the display unevenness occurs in the display device based on a distribution of pixels in which the differential pixel value exceeds the non-uniformity determining threshold value;
Intensity value acquisition means for acquiring a display non-uniformity intensity value of the generation region based on the pixel value or the differential pixel value of each pixel belonging to the generation region;
Intensity value comparing means for comparing the intensity value with a predetermined non-uniformity intensity threshold value,
Display irregularity detecting means for detecting, as the display irregularity, the generation region in which the intensity value exceeds a predetermined non-uniformity intensity threshold value,
And a non-uniformity detection unit for detecting a non-uniformity of the display of the display device.
Further comprising an emphasizing means for averaging each pixel value of the display device with a pixel value of peripheral pixels in the extending direction using an emphasis spatial filter having directionality in the extending direction of the display unevenness to be detected and,
Wherein the differentiating means acquires the differential pixel value for each pixel value of the display device averaged by the emphasizing means.
Wherein the differentiating means comprises:
Integrates each pixel value of the display device with a pixel value of peripheral pixels by using a kernel-size spatial filter corresponding to the shape and size of display irregularities of the display device, An integration means for acquiring an integral pixel value of the pixel,
Difference means for obtaining a differential pixel value of each pixel of the display device by a difference between the pixel value and the integral pixel value in each pixel of the display,
And a non-uniformity detection unit for detecting a non-uniformity of the display of the display device.
Wherein the integrating unit is configured to determine whether or not the pixel to be acquired of the integral pixel value belongs to one of the neighboring regions of each of the outer periphery of the display device And the pixel value of the pixel to be acquired is integrated by using the spatial filter whose sensitivity in the direction is reduced.
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PCT/JP2012/055273 WO2013128617A1 (en) | 2012-03-01 | 2012-03-01 | Display unevenness detection method and device for display device |
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