TW201338502A - Display unevenness detection method and device for display device - Google Patents

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 and the pixel value of each pixel of the liquid crystal panel display (3) is acquired. Then, the differential pixel value of each pixel is acquired in order to detect the display unevenness of the liquid crystal panel display (3). When doing so, an integral pixel value is acquired by averaging the pixel value of each pixel with the pixel values of peripheral pixels, the integral pixel value is subtracted from the original pixel value of the corresponding pixel, and the value thus obtained is acquired as the differential pixel value for each pixel. It is possible to remove the low-frequency components such as offsets from the pixel value distribution of the adjacent pixels and to retain the high-frequency components that are the same as the display unevenness by acquiring the differential pixel value by means of integration and differentiation. As a consequence, it is possible to detect the display unevenness of a 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

Display unevenness detection method and device thereof

The present invention relates to a method and apparatus for detecting display unevenness of display elements.

Shooting an image displayed by the display element, and detecting a display unevenness of the display element by comparing the captured image data with the display image data, and correcting the display image data with the correction content extracted therefrom It is useful to solve the problem of uneven display. The related art is disclosed in Japanese Laid-Open Patent Publication No. 2010-57149 or JP-A-2005-150349.

[Advanced technical literature]

[Patent Document 1] Japanese Patent Laid-Open Publication No. 2010-57149

[Patent Document 2] Japanese Patent Laid-Open Publication No. 2005-150349

In order to improve the display accuracy of the display elements, the inventors have studied a specific analysis method of the image data obtained by capturing the image displayed by the display element in order to improve the detection accuracy. In the process, it was found that the specific analysis of the image data will affect the detection accuracy of display unevenness. The present invention has been made in view of such a problem, and an object of the present invention is to provide a method and apparatus for detecting display unevenness of a display element with higher precision.

An embodiment of the present invention is a display unevenness detecting method for a display element, comprising: a pixel value obtaining step of obtaining pixel values of respective pixels of the display element according to output image data obtained by capturing an image displayed by the display element; In the integration step, by using a spatial filter having a core size corresponding to the display unevenness and size of the display element, the pixel values of the display elements and the pixel values of the peripheral pixels are averaged and integrated to obtain the display. An integrated pixel value of each pixel of the component; a differentiation step of obtaining a differential pixel value of each pixel of the display element by a difference between the pixel value and the integrated pixel value in each pixel of the display element; and an uneven region detecting step And generating a display area of the display unevenness in the display element based on a distribution of pixels of the display element in which the differential pixel value exceeds a predetermined unevenness determination threshold.

Moreover, another aspect of the present invention provides a display unevenness detecting device for a display device, comprising: a pixel value obtaining means for assigning each pixel value of an output image data obtained by capturing an image displayed by the display element to the display element And obtaining, by each pixel, a pixel value of each pixel of the display element; and integrating means, using a spatial filter having a core size corresponding to a display unevenness and size of the display element, and each pixel value of the display element and the periphery A pixel value of the pixel is averaged and integrated to obtain an integrated pixel value of each pixel of the display element; and a differentiation means obtains the display element by a difference between the pixel value and the integrated pixel value in each pixel of the display element a differential pixel value of each pixel; the pixel value comparison means comparing the differential pixel value of each pixel of the display element with a predetermined unevenness determination threshold; and the uneven area detecting means according to the foregoing The distribution of the pixels whose sub-pixel values exceed the aforementioned unevenness determination threshold value detects the generation region of the display unevenness in the display element.

According to an aspect of the present invention, the differential pixel value of each pixel is obtained by the difference between each pixel value of the display element and its integrated value, that is, the integrated pixel value. Therefore, the low-frequency component that changes the pixel value of the adjacent pixel is cut off, and the high-frequency component of the pixel value change is obtained. Thereby, even if the pixel covering the display element as a whole produces an offset of the pixel value, the offset component corresponding to the low frequency component of the pixel value change can be excluded. Therefore, the display element can be detected with higher precision than the differential pixel value obtained by the difference between the input image data of the source of the image displayed as the display element and the output image data of the display element. The display is uneven.

Hereinafter, an embodiment of a display unevenness detecting device to which the display unevenness detecting method of the present invention is applied will be described. The display unevenness detecting device of the present invention may be configured by being assembled on a line such as an inspection line (not shown) in the process of the display element, or may be separated from the inspection line and formed in a separate stand-alone form.

Further, as the display element which can detect the display unevenness by the display unevenness detecting device of the present invention, for example, a liquid crystal panel display, a plasma panel display, an organic EL panel display or the like can be used. In the following embodiments, a case where the display element is a liquid crystal panel display will be described as an example.

As shown in FIG. 1, the display unevenness detecting device 1 of the present embodiment is configured as a stand-alone image, and is an output image obtained by capturing a test pattern such as a test pattern displayed on the liquid crystal panel display 3 (corresponding to a display element) by the CCD camera 5. The data detects uneven display of the liquid crystal panel display 3. The display unevenness detecting device 1 can be configured by a personal computer or the like as long as it is unobstructed in processing capability.

The display unevenness detecting device 1 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), a hard disk, and the like. The CPU performs detection processing of display unevenness of the liquid crystal panel display 3 by executing a program stored in a ROM or a hard disk.

The detection processing of the display unevenness of the liquid crystal panel display 3 by the unevenness detecting device 1 is displayed, and as shown in FIG. 2, the output image data obtaining process (step S1), the address and ripple removal processing (step S3), and the differential processing (step) are included. S5), differential threshold determination (primary threshold determination, binarization) processing (step S7), uneven intensity calculation processing (step S9), unevenness intensity threshold determination (secondary threshold determination) processing (step S11), and result Output processing (step S13).

In the output image data obtaining process of step S1, for example, the liquid crystal panel display 3 displays an image such as a test pattern by the input image data supplied from the display unevenness detecting device 1 to the liquid crystal panel display 3, and the display unevenness detecting device 1 acquires the image. The video signal of the CCD camera 5 on which the display screen has been taken is used as the output image data of the liquid crystal panel display 3.

Here, the display unevenness detecting device 1 of the present embodiment can detect any unevenness in brightness and color unevenness in the display of the liquid crystal panel display 3. Therefore, in the liquid crystal panel display 3, an image suitable for detection of uneven brightness or an image suitable for detection of uneven color is displayed by appropriately changing the RGB value pattern. Next, the display unevenness detecting device 1 performs detection of uneven display of the following steps for each image. Work.

In the address processing of step S3, each pixel of the CCD sensor of the CCD camera 5 is assigned to each pixel of the liquid crystal panel display 3, and the liquid crystal panel display is cut out from the pixel value of each pixel of the CCD sensor constituting the output image data. The pixel value of each pixel of 3.

Further, when the display element is an organic EL panel display or a plasma panel display or the like, one light-emitting element can also be addressed as one pixel.

Further, the liquid crystal panel display 3 and the CCD sensor respectively have a lattice pattern in which pixels are arranged in a matrix. Further, since the CCD camera 5 has more pixels than the liquid crystal panel display 3, the image light from one pixel of the liquid crystal panel display 3 is received by a plurality of pixels of the CCD camera 5. Therefore, the pixel value of each pixel of the liquid crystal panel display 3 is determined, for example, based on the pixel having the highest pixel value among the plurality of pixels of the CCD camera 5 corresponding to the pixel.

At this time, if the CCD camera 5 has pixels that are an integer multiple of the liquid crystal panel display 3, a phase difference does not occur between the pixel period of the CCD camera 5 and the pixel period of the liquid crystal panel display 3. Therefore, when each pixel of the liquid crystal panel display 3 emits light at the same pixel value, the pixels having the highest pixel value among the pixels of the CCD camera 5 corresponding to each pixel have the same pixel value. Therefore, no corrugation is generated in the photographic image of the CCD camera 5 that has taken the display image of the liquid crystal panel display 3.

However, if the CCD camera 5 has a number of pixels that are not integer multiples of the liquid crystal panel display 3, it will be in the pixel period of the CCD camera 5 and the liquid. A phase difference occurs between the pixel periods of the crystal panel display 3. Therefore, when each pixel of the liquid crystal panel display 3 emits light at the same pixel value, the pixels having the highest pixel value among the pixels of the CCD camera 5 corresponding to the respective pixels do not have the same pixel value. This causes a corrugation pattern to be generated in the photographic image of the CCD camera 5 that has taken the display image of the liquid crystal panel display 3.

If the output image data from the CCD camera 5 is directly used for detecting the display unevenness of the liquid crystal panel display 3 in the state in which the corrugated texture is included, erroneous detection of display unevenness may occur.

Therefore, the address processing and the ripple removal processing are performed in step S3. The corrugation removal process is, for example, a method of adding or averaging pixels of a CCD sensor and its peripheral pixels as proposed by the applicant in Japanese Patent Application Laid-Open No. 2004-317329, and removing the output image data. Corrugated composition.

Further, when the display element is an organic EL panel display or a plasma panel display or the like, since the light-emitting elements are also arranged in a matrix lattice pattern, it is effective to perform the same ripple removal processing together with the address processing. However, the ripple removal processing is not essential, and if the occurrence of the corrugation is not caused by the detection of unevenness in display, the ripple removal processing may be omitted.

In the differential processing in step S5, as shown in FIG. 3, the pixel value of each pixel of the liquid crystal panel display 3 is emphasized (step S51), the integration processing (step S51), and the pixel value of each pixel of the liquid crystal panel display 3. The difference processing from the integrated pixel value (step S53).

In the integration process in step S51, the liquid crystal panel after the address processing and the ripple removal processing performed in step S3 of FIG. 2 is performed using a space filter. The pixel values of the pixels of the display 3 and the pixel values of the peripheral pixels are averaged and integrated to obtain an integrated pixel value.

The space filter used herein must have a matrix shape covering the display unevenness which is generated by the liquid crystal panel display 3. Therefore, the spatial filter has a core size corresponding to the display unevenness generated by the liquid crystal panel display 3. For example, if the display is not the maximum, it is possible to have a size of 100×100 pixels of the liquid crystal panel display 3, and the spatial filter used for integration is also a core size of 100×100. That is, the value of each core is "1", and the coefficient is the inverse of the core number (=1/(100×100)).

Further, when the integration process of step S51 is performed using the spatial filter, if the target pixel to be integrated (the target pixel of the integrated pixel value) is close to either the upper, lower, left, and right sides of the liquid crystal panel display 3, one part of the spatial filter The core column will be beyond the outside of the LCD panel display 3.

Here, referring to FIG. 4 and FIG. 5, the pixel value of each pixel of the liquid crystal panel display 3 is used by using the spatial filter 40 for integration (a spatial filter having a core size corresponding to the display unevenness and size of the display element). The case of integrating is taken as an example for explanation. Further, in the example described here, as shown in the right side of Fig. 4 or the bottom view of Fig. 5, respectively, the core size of the space filter 40 is schematically shown to be 7 × 7. This spatial filter 40 sets each core value to "1" and sets the coefficient of each core to the inverse of the total number of cores (=1/(7 × 7)).

First, the relationship between the positional relationship of the spatial filter 40 with respect to the left side 31 of the liquid crystal panel display 3 and the effective core column is shown in FIG. In this example, the pixel from the left 31 to the third pixel in the spatial filter 40 When integrating (refer to the example from the top of FIG. 4 to the third example), the core column (1 column to 3 columns) on the left side of the space filter 40 is beyond the left side 31 of the liquid crystal panel display 3 and extends beyond the outside.

Since there is no corresponding pixel column in the core column beyond the outside of the liquid crystal panel display 3, it must be invalidated when integrating the core column. Therefore, for the core column of the space filter 40 outside the left side 31, the core is invalidated (core value = "0").

Further, when the pixels from the left side 31 to the fourth pixel are integrated by the space filter 40 (refer to the example after the fourth from the top in FIG. 4), the space filter 40 is entirely housed inside the liquid crystal panel display 3. . In this case, since there are corresponding pixels for the entire core, there is in principle no core (column) that invalidates it.

Further, the integration target pixel existing in the vicinity of the right side of the liquid crystal panel display 3 may be subjected to integration processing using the spatial filter 40 that reverses the content of FIG.

As shown in FIG. 5, the same is performed when the space filter 40 approaches the upper side 35 of the liquid crystal panel display 3. That is, when the integration target pixel is located from the upper side 35 to the third pixel (refer to the example from the right to the third in FIG. 5), the core column (1 column to 3 column) on the upper side of the spatial filter 40 exceeds the liquid crystal panel display. 3 above the edge 35 and beyond to the outside. Therefore, the core is invalidated for the core column of the space filter 40 outside the upper side 35 (core value = "0").

In addition, when the integration target pixel is from the upper side 35 to the fourth pixel (refer to the fourth to leftmost example from the right in FIG. 5), the space filter 40 is entirely housed inside the liquid crystal panel display 3. Therefore, in principle, it is not necessary The spatial filter 40 sets a core (column) that is rendered ineffective.

In addition, the integration target pixel existing in the vicinity of the lower side of the liquid crystal panel display 3 may be subjected to integration processing using the spatial filter 40 that reverses the content of FIG.

Further, in the liquid crystal panel display 3 using the backlight, particularly in the case where the light source is disposed on the peripheral portion of the screen and the light guide is used to guide the light to the center of the screen, the brightness of the light guide plate is weakened, and the central brightness of the screen is easily generated. A relatively low-density shadow near the periphery of the screen. This shadow also occurs in a display panel that does not use a backlight, such as a plasma panel display or an organic EL panel display.

Therefore, in the present embodiment, when the integration target pixel is located in the vicinity of the outer periphery of the liquid crystal panel display 3, the spatial filter 40 has the directivity in the same direction as the direction in which the approaching edge is extended, and the direction in which the edge extends is reduced. The sensitivity of the direction of intersection, to shadow correction of the integral pixel value.

For example, in the vicinity of the left side 31 of the liquid crystal panel display 3 shown in FIG. 4, a 7-pixel width from the left side 31 to the sensitivity correction line 32 and a region 33 near the left side 31 are likely to be shaded. In this case, when the target pixel integrated by the spatial filter 40 exists in the vicinity region 33, the spatial filter 40 is made to have directivity toward the extending direction of the left side 31. Next, the effective core column in the direction orthogonal to the left side 31 (lateral direction) is set to three columns in principle, and the core size is set to vertical × horizontal = 7 × 3.

However, in the example at the top of FIG. 4, since the pixel on the left side of the central integration object pixel superimposed on the spatial filter 40 is intended to make the effective core column out of the left side 31 of the spatial filter 40 to the outside, the effective core will be exceptionally The heart size is set to vertical × horizontal = 7 × 2.

Similarly, in the vicinity of the upper side 35 of the liquid crystal panel display 3 shown in FIG. 5, the 7-pixel width from the upper side 35 to the sensitivity correction line 36 and the vicinity 37 of the upper side 35 are likely to be shaded. In this case, when the target pixel integrated by the spatial filter 40 exists in the vicinity region 37, the spatial filter 40 is made to have directivity toward the extending direction of the upper side 35. Next, the effective core column in the direction orthogonal to the upper side 35 (longitudinal direction) is set to three columns in principle, and the core size is set to vertical × horizontal = 3 × 7.

However, in the example at the top of FIG. 5, since the pixel overlapping the pixel on the upper side of the integration target pixel is intended to cause the effective core column to extend from the upper edge 35 of the spatial filter 40 to the outside, the effective core size is exceptionally set to vertical × horizontal. = 2 × 7.

In addition, when the integration target pixel existing in the vicinity of the 7-pixel width and the right side from the right side of the liquid crystal panel display 3 to the sensitivity correction line (not shown) is likely to be shaded, the image is inverted as shown in FIG. The space filter 40 of the latter content can be integrated. Similarly, when the pixel of the integral pixel existing in the vicinity of the 7-pixel width and the lower side from the lower side of the liquid crystal panel display 3 to the sensitivity correction line (not shown) is likely to be shaded, the image is left and right as shown in FIG. The spatial filter 40 of the rotated content can be integrated.

As described above, the integration target pixel in the vicinity of the outer periphery of the liquid crystal panel display 3 is made to have the directivity of the direction in which the spatial filter 40 is used to extend, and the effective core size is set to vertical × horizontal = 7 The spatial filter 40 of ×2 or 2×7, or 7×3 or 3×7, can perform shadow correction simultaneously when integrating the pixel values of the integration target pixels.

Further, when the integration target pixel exists on the inner side of the liquid crystal panel display 3 with the sensitivity correction lines 32, 36, the effective core size of the spatial filter 40 for integration of the pixels can be set to 7 × 7 in principle. However, when the integration target pixel moves from the vicinity of the region 33, 37 beyond the sensitivity correction line 32, 36 to the inside of the liquid crystal panel display 3, the effective core size of the spatial filter 40 will vary from vertical to horizontal = 7 x 3 or 3. The change of ×7 to 3 × 7 or 7 × 7 is not preferable because the integral characteristics change rapidly.

Therefore, when the integration target pixels located inside the relatively near regions 33, 37 are also located near the sensitivity correction lines 32, 36, the effective core size of the spatial filter 40 is gradually changed as it is moved away from the nearby regions 33, 37. Vertical × horizontal = 7 × 5 or 5 × 7, 7 × 7.

Further, the core size of the above-mentioned vertical × horizontal = 7 × 7 is merely an example of the above description, and the core size of the spatial filter may be any size as long as it corresponds to the display unevenness which may occur on the liquid crystal panel display 3. Further, for the spatial filter used for integration of the integration target pixel near the outer periphery of the liquid crystal panel display 3, the spatial filter 40 shown in Figs. 4 and 5 can be made to be orthogonal to the direction in which the approaching edge extends. The number of effective core columns is variable, making the sensitivity directional.

For example, when the spatial filter has a core size of 15×15, the effective core size of the spatial filter can be made from vertical/horizontal=15×3 or 3×15 as the integral object pixel moves away from the nearby regions 33, 37. The sequence passes through multiples of 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. Change in stages.

In addition, in the case of not needing to consider the above-mentioned shadow correction, it can also be as shown in FIG. The space filter 40 shown in FIG. 5 is the same as the core of the outer peripheral side of the liquid crystal panel display 3 as an invalid core, or is close to the core of the liquid crystal panel display 3, and is invalidated in the core row on the center side of the liquid crystal panel display 3. . Thus, the directivity (sensitivity) of the spatial filter 40 in the direction orthogonal to the left side 31 or the upper side 35 (or the right side or the lower side) of the liquid crystal panel display 3 can be made equal to the integration target pixel. That is, when it is not necessary to consider the shading correction, it is possible to arbitrarily determine whether or not the invalid core column is also set on the center side of the liquid crystal panel display 3.

Further, at the four corners of the liquid crystal panel display 3, for example, as shown in Fig. 6, the two adjacent regions 33, 37 of the left side 31 and the upper side 35 are repeated. Therefore, when there is an integration target pixel in the region 39 overlapped in the vicinity 33, 37, the spatial filter 40 is added to the core column which is invalidated by the spatial filter 40 shown in Figs. 4 and 5, respectively. The cores of the 2~3 columns of the left and right and the upper and lower columns can be invalidated. Also in this case, when it is not necessary to consider the shading correction, it is possible to arbitrarily determine whether or not the core row which is ineffective on the center side of the liquid crystal panel display 3 is set in the vertical direction and the lateral direction, respectively.

Further, the display of the liquid crystal panel display 3 is uneven, and if it has a certain size in both the vertical and horizontal directions, there is a linear unevenness in which the size in the longitudinal direction or the lateral direction is small. Compared with the display unevenness of a certain size in both the vertical and horizontal directions, the unevenness of the line is small due to the unevenness (area). Therefore, if the integration process is performed, the pixel value of the peripheral pixels is pulled. The integral pixel value becomes low, and it is difficult to detect a tendency to be uneven.

Therefore, the differential processing of step S5 of FIG. 2 performed when the linear unevenness of the dimension in the longitudinal direction or the lateral direction is small is detected, as shown in FIG. Similarly, before the integration process of step S51 of FIG. 3 and the difference process of step S53 are performed, emphasis processing (step S50) is performed as pre-processing.

In the emphasis processing in step S50, the pixel values of the linear unevenness in the vertical direction or the lateral direction are averaged in the direction in which the linear unevenness is extended to reduce the noise component. Fig. 8 is a view showing an emphasis processing for performing linear unevenness extending in the longitudinal direction. In this case, the space filter 50 (the space filter for emphasis) for the emphasis processing having the directivity (arranged with the effective core) in the longitudinal direction is used in the same manner as the linear unevenness. The spatial filter 50 has an effective core of a vertical column (core value = "1") in the center of the horizontal direction of n × n, and the other is set as an invalid core (core value = "0"). . The coefficient of the effective core is the inverse of the effective core number n (=1/n). In addition, the case of n=9 is shown in FIG.

In the emphasis processing of the linear unevenness of step S50 of FIG. 7 using the spatial filter 50, the pixel values of the linear uneven portion are averaged to the pixel values of the peripheral pixels which are the same as the effective core number n in the longitudinal direction. . Thereby, the boundary of the longitudinal direction of the linear unevenness is clarified, and it is easy to detect the display unevenness.

Further, the emphasis processing for extending the linear unevenness in the lateral direction may be a space filter (not shown) for the emphasis processing in the lateral direction. Further, since the dot-dense dot-like defect is subjected to the emphasis processing, the pixel value is lowered in accordance with the pixel value of the peripheral pixel, and thus the display unevenness is less likely to be erroneously detected.

When performing the emphasis processing of step S50 described above, the pixel values of the pixels of the liquid crystal panel display 3 after the emphasis processing are performed. The integration process of step S51 is performed to obtain the integrated pixel value. At the time of the integration processing, as described with reference to FIGS. 4 and 5, the core column of a part of the space filter 50 may be invalidated in accordance with the positional relationship between the integration target pixel and the outer periphery of the liquid crystal panel display 3.

Next, in the difference processing of step S53 of FIG. 3 or FIG. 7, the difference between the pixel value of each pixel of the liquid crystal panel display 3 before the integration processing of step S51 and the integral pixel value after the integration processing of step S51 is obtained. This difference is a differential pixel value of each pixel of the liquid crystal panel display 3. Above, the differential processing of step S5 of Fig. 2 ends.

Further, the two graphs displayed next to step S51 of FIG. 3 show the distribution of pixel values in one of the horizontal directions of the liquid crystal panel display 3 before and after the integration processing in step S51. Comparing the two graphs, it is understood that after the integration processing of step S51 of FIG. 3 or FIG. 7 is performed, the low-frequency component of the pixel value change of the liquid crystal panel display 3 is extracted. When the pixel of the liquid crystal panel display 3 is entirely offset by the pixel value, the extracted low frequency component will contain the offset amount.

Further, the graph shown in the step S53 of FIG. 3 is a display of the pixel value distribution in one of the horizontal directions of the liquid crystal panel display 3 after the difference processing in step S53. Referring to this graph, it is understood that after performing the difference processing in step S53 of FIG. 3 or FIG. 7 described above, only the high-frequency components after the low-frequency components have been removed from the pixel value change of the liquid crystal panel display 3 are extracted. When the pixel of the liquid crystal panel display 3 is entirely offset by the pixel value, the offset amount is also excluded as a low frequency component.

Therefore, in the differential processing of step S5 of FIG. 2, by performing the above The integration processing or the difference processing of the step S51 or the step S53 of FIG. 3 or FIG. 7 can detect the unevenness of the display with higher precision than the general differential processing for determining the difference between the pixel values of the target pixel and the peripheral pixels thereof. A pixel area of the liquid crystal panel display 3 that results in a gap between pixel values and peripheral pixels.

Further, in the integration processing of step S51 of FIG. 3, the pixel values of the respective pixels of the liquid crystal panel display 3 which have been subjected to the address processing and the ripple removal processing performed in step S3 of FIG. 2 are integrated. On the other hand, in the integration processing of step S51 of FIG. 7, the pixel values of the respective pixels of the liquid crystal panel display 3 after the emphasis processing of step S50 are integrated. That is, even if the pixel value of each pixel of the liquid crystal panel display 3 for integration processing is also the same as the integration processing, the integration processing of step S51 of Fig. 3 is different from the integration processing of step S51 of Fig. 7.

Therefore, when the unevenness of a certain degree in both the longitudinal and lateral directions and the linear unevenness in the longitudinal direction or the lateral direction are detected as display unevenness, the differential processing of the steps of FIG. 3 and FIG. 7 are separately performed. Differential processing of steps. In this case, the differential processing of the steps of FIG. 3 and the differential processing of the steps of FIG. 7 may be performed in series or in parallel.

Here, the image and pixel value of the output image data of the liquid crystal panel display 3 before and after the differential processing of step S5 of FIG. 2 will be described with reference to FIGS. 9 and 10.

First, the display unevenness of the image shown in FIG. 9(a) exists in the output image data of the liquid crystal panel display 3 before the differential processing in step S5 of FIG. At this time, the pixel value of the corresponding pixel of the liquid crystal panel display 3 is as Figure 9 (b). In addition, in order to make the description easy, in FIG. 9(b), the pixel value of each pixel is not displayed by the value (average value = 100) in which the brightness of the display screen is normalized by the RGB values.

Therefore, if the pixel value shown in FIG. 9(b) is subjected to the differential processing of step S5 of FIG. 2, as shown in FIG. 10(b), only the pixel whose pixel value is higher than the average value has a pixel value of 1000, and the like. The pixel value of the pixel is 0. When this is represented by an image, as shown in FIG. 10(a), the contrast difference between the display and the periphery is large, and the contrast difference before the differential processing shown in FIG. 9(a) is large, and the display unevenness becomes clear.

Next, the differential threshold determination (primary threshold determination) processing in step S7 of FIG. 2 determines the pixel value of FIG. 10(b), that is, the differential pixel value of each pixel of the liquid crystal panel display 3, and the unevenness determination. The threshold is compared and then binarized. The unevenness determination threshold is used to determine, by the differential pixel value, whether it is a threshold value of a pixel of a region (a region where unevenness is generated) in which the display of the liquid crystal panel display 3 may not be generated.

Next, as shown in FIG. 11, the tag value is assigned to the pixel whose differential pixel value exceeds the unevenness determination threshold value, and "0" is assigned to the pixel whose differential pixel value is equal to or less than the unevenness determination threshold value. The tag value is a value obtained by uniquely assigning a region in which the display unevenness is generated, as an area in which the pixels adjacent to the unevenness determination threshold are adjacent to each other. Therefore, pixels in the same display unevenness generating area are assigned the same tag value. In addition, an integer of "1" or more is used for the tag value.

Next, in the unevenness intensity calculation processing of step S9 of Fig. 2, the intensity of display unevenness is calculated for each generation area of display unevenness. Showing unevenness For example, the SEMU (SEMI MURA) value normalized by Semiconductor Equipment and Materials International (SEMI registered trademark) can be used. Here, a method of calculating the SEMU value will be described.

For the calculation of the SEMU value, it is necessary to have an average contrast Cx of the area where the unevenness is generated, an area Sx of the area where the unevenness is generated, and a density Cjnd of the display unevenness of the human limit of detection. The average contrast Cx is the luminance (the average value of the luminance of the pixels in the area) of the display unevenness expressed as a percentage when the brightness of the peripheral pixels of the display unevenness generation area is set to 100%. The area Sx is expressed in mm ² . The concentration Cjnd of the display unevenness of the detection limit is expressed by a function F(Sx) indicating the area Sx of the generation area of the unevenness.

When the above-described average contrast Cx is obtained for each of the regions in which the display is uneven, it is necessary to set the foreground (Fore Ground: FG) and the background (Back Ground: BG) in each of the generated regions. For example, in the case where the display unevenness is generated in the shapes shown in FIGS. 9(a) and 10(a), as shown in FIG. 12, the display unevenness generation area is FG, which is separated by 2 pixels from the FG. The annular area of the surrounding 2 pixel width is BG. Therefore, the average luminance value is obtained for each pixel belonging to the FG and each pixel belonging to the BG, and is set to an FG value and a BG value.

Next, using the following formula (1) Cx = (FG value - BG value) / BG value (...), the average contrast Cx is obtained from the FG value and the BG value.

Further, using the following formula (2) Cjnd=F(Sx)=1.97×(1/Sx ^0.33 )+0.72 (2), the concentration Cjnd of the display unevenness of the detection limit is obtained.

Next, use the following formula (3) SEMU value = | Cx | / Cjnd... (3), and the SEMU value is obtained.

As above, since the average contrast Cx or the area Sx is used for the calculation of the SEMU value, it is necessary to know the correct shape of the display unevenness generating region. From this point of view, the linear unevenness of the region in which the display unevenness is specified for the emphasis processing in step S50 of FIG. 7 can be excluded from the object of calculating the unevenness intensity by the SEMU value. The reason for this is that in the case where the line is uneven, the shape in which the display unevenness is generated may be slightly changed from the original linear uneven shape by the emphasis processing in the previous stage.

Furthermore, the unevenness intensity threshold determination (secondary threshold determination) processing in step S11 of FIG. 2 compares the value of the unevenness (SEMU value) of the generation unevenness of the display unevenness calculated in step S9 with the intensity threshold. . The intensity threshold is used to determine, by the value of the unevenness intensity, a threshold value at which a region of occurrence of display unevenness as display unevenness is finally detected. The intensity threshold is set to detect the lowest unevenness intensity value of the display unevenness generation area which is display unevenness.

Next, the area where the unevenness intensity value exceeds the intensity threshold value display unevenness is detected as display unevenness. On the other hand, if the unevenness intensity value does not exceed the display area of the display unevenness of the intensity threshold, the display unevenness is not detected. The detected display is uneven. Finally, in the result output processing of step S13, the pixel position in the liquid crystal panel display 3 is correlated with the unevenness intensity value, and the information is output to the display unevenness as the detection result of the display unevenness. The outside of the detecting device 1.

In the above, the liquid crystal panel display 3 performed by the unevenness detecting device 1 is displayed. The entire content of the uneven detection processing is displayed. Further, in the present embodiment, step S3 in the flowchart of Fig. 2 is processing of the pixel value obtaining means (pixel value obtaining step) in the corresponding request item. Further, in the present embodiment, the step S51 in the flowcharts of Figs. 3 and 7 is processing of the integration means (integration step) in the corresponding request item, and the step S53 in Fig. 3 and Fig. 7 is the differentiation in the corresponding request item. Processing of means (differential steps).

Furthermore, in the present embodiment, step S7 in FIG. 2 is processing of the pixel value comparison means and the uneven area detecting means (uneven area detecting step) in the corresponding request item, and step S50 in the flowchart of FIG. 7 is Corresponding to the processing of the emphasis means (emphasis step) in the request item.

In the present embodiment, step S9 in FIG. 2 is processing corresponding to the intensity value obtaining means (intensity value obtaining step), and step S11 in FIG. 2 is a pixel value comparing means and display unevenness detecting in the corresponding request item. The processing of the means (displaying the uneven detection step).

Further, the detection result information indicating the display unevenness outputted by the unevenness detecting device 1 can be used, for example, to generate a correction for the display unevenness-removing input image data stored in the liquid crystal panel display 3 in accordance with the presence or absence of each display unevenness or its contents. data. In particular, if the display unevenness detecting device 1 is provided on the line of the shipment inspection line or the like of the liquid crystal panel display 3, the display unevenness detecting step can be interlocked with the previous and subsequent steps.

In this case, the controller (not shown) that manages the shipment inspection line or the unit controller of each step on the individual management line is coordinated (not shown, the display unevenness detection step is equivalent to the display unevenness detection device 1 This is the following steps.

That is, as shown in FIG. 13, in step S101, the display unevenness detecting means 1 performs the detection processing of the display unevenness described with reference to the flowchart of FIG. 2, and secondly, the display unevenness outputted from the display unevenness detecting means 1 is performed. The detection result information detects the presence or absence of display unevenness (step S103). When there is no display unevenness (NO in step S103), it is determined to be a good product, and the inspection procedure related to the liquid crystal panel display 3 to be inspected is ended.

On the other hand, when there is display unevenness (YES in step S103), for the liquid crystal panel display 3, the display unevenness detecting device 1 outputs the number of times and the setting of the inspection result information that has detected the content of the display unevenness. The number of times is compared (step S105). When the number of times of output exceeds the set number of times (YES in step S105), it is determined that the product is defective, and the inspection procedure relating to the liquid crystal panel display 3 to be inspected is ended.

On the other hand, when the number of times of output of the inspection result information indicating the display unevenness exceeds the set number of times (NO in step S105), the generation processing is performed, and the display for detecting the detection unevenness detecting means 1 is not generated. The correction data of the input image data is all (step S107).

The correction data generation processing is executed by a unit controller included in the correction data generation unit (not shown) of the shipment inspection line. The generated correction data is newly written or overwritten by a flash memory (not shown) of the driver circuit built in the liquid crystal panel display 3 by the unit controller. As long as the correction data is suitable, when the input and output image data is input to the driver circuit, the correction data read from the flash memory is used to correct the unevenness of the input image data, thereby causing uneven display. The display screen of the liquid crystal panel display 3 disappears.

Next, after the correction data generation processing of step S107, the process returns to step S101 again, and the detection processing of the display unevenness by the display unevenness detecting device 1 described with reference to the flowchart of FIG. 2 is performed. Therefore, even if the detection process of the display unevenness and the update of the correction data of the liquid crystal panel display 3 are repeatedly set a number of times, when the display unevenness detecting device 1 continuously detects the display unevenness, the liquid crystal panel display 3 is judged as Defective product.

As described above, according to the display unevenness detecting device 1 of the present embodiment, the pixel value of each pixel of the liquid crystal panel display 3 is obtained from the output image data of the display image of the liquid crystal panel display 3 acquired by the CCD camera 5, and When the display unevenness of the liquid crystal panel display 3 is detected and the differential pixel value of each pixel is obtained, the following steps are performed.

First, the integrated pixel value is obtained by averaging the pixel value of each pixel and the pixel value of the peripheral pixel. Secondly, the integrated pixel value is subtracted from the pixel value of the corresponding pixel, and the differential pixel value of each pixel is obtained.

By obtaining the differential pixel values by the integration and the difference, the low-frequency components such as the offset can be removed from the pixel value distribution of the adjacent pixels, leaving the same high-frequency components as the display unevenness. Thereby, the display unevenness of the liquid crystal panel display 3 can be detected with higher precision than the method of obtaining the differential pixel value of each pixel by the difference between the output image data and the input image data.

Further, in order to detect linear unevenness, the differential processing of the flowchart including FIG. 7 including the emphasis processing may be performed together with the differential processing of the flowchart of FIG. 3, and may be omitted. Further, in the integration processing of step S51 of FIG. 3 or FIG. 7, as described with reference to FIGS. 4 and 5, the spatial filter 50 is made in accordance with the positional relationship between the integration target pixel and the outer periphery of the liquid crystal panel display 3. The constitution of a part of the core column invalidation may also be omitted. Furthermore, the intensity of unevenness can also be evaluated by values other than the SEMU value.

Further, in the display unevenness detecting device 1 of the present embodiment, the unevenness intensity calculation processing of step S9 of FIG. 2 or the unevenness intensity threshold value determination (secondary threshold value determination) of step S11 is performed as detection of display unevenness. All the rings will be carried out.

However, when the differential pixel value of each pixel of the liquid crystal panel display 3 is obtained in order to detect the display unevenness of the liquid crystal panel display 3, the differential processing shown in the flowchart of FIG. 3 or FIG. 7 may be omitted. Steps S9 and S11. In this case, the relationship between the display unevenness detected by the differential threshold determination processing in step S7 of FIG. 2 and the pixel position in the liquid crystal panel display 3 is used as the detection result information of the display unevenness. The result output processing of step S13 of Fig. 2 is output to the outside of the display unevenness detecting apparatus 1.

Further, as also mentioned at the outset, the display unevenness detecting method of the present invention and the display unevenness detecting device using the same can be used for a plasma panel display or a liquid crystal panel display 3 as described in the above embodiment. Detection of display unevenness of display elements such as organic EL panel displays.

The present invention can be widely applied when detecting display unevenness of display elements by image processing.

1‧‧‧Display uneven detection device

3‧‧‧LCD panel display

5‧‧‧CCD camera

31‧‧‧left

32,36‧‧‧sensitivity correction line

33,37‧‧‧near area

35‧‧‧上上

39‧‧‧Area

40, 50‧‧‧ space filter

Fig. 1 is an explanatory view showing a state in which display unevenness of a display element is detected by the display unevenness detecting device according to the first embodiment of the present invention.

FIG. 2 is a flow chart showing the display unevenness detecting step performed by the display unevenness detecting device of FIG. 1.

Figure 3 is a flow chart showing the specific steps of the differential processing of Figure 2.

4 is an explanatory diagram showing the principle of obtaining the integrated pixel value in the integration process of FIG. 3 for the pixel display in the vicinity of the left side of the liquid crystal panel display.

FIG. 5 is an explanatory diagram showing the principle of obtaining the integrated pixel value in the integration process of FIG. 3 for the pixel display in the vicinity of the upper side of the liquid crystal panel display.

6 is an explanatory diagram showing the principle of obtaining the integrated pixel value in the integration processing of FIG. 3 for the pixel display in the vicinity of the upper left corner of the liquid crystal panel display.

Figure 7 is a flow chart showing the specific steps of the differential processing of Figure 2.

Fig. 8 is an explanatory view showing the principle of the emphasis processing of Fig. 7.

9(a) and 9(b) are partial views showing an image of an output image data and a pixel value before the differential processing of the liquid crystal panel display of FIG. 1.

10(a) and 10(b) are partial views showing an image of the output image data after the differential processing of the liquid crystal panel display of FIG. 1 and an image of each pixel value.

FIG. 11 is an explanatory view showing a state in which a label value is given to a pixel in which the differential pixel value shown in FIG. 10(b) exceeds the unevenness determination threshold value.

Fig. 12 is an explanatory view showing the positional relationship between the foreground (FG) and the background (BG) in the generation region of the display unevenness necessary for obtaining the SEMU value.

Fig. 13 is a flow chart showing the inspection procedure of the liquid crystal panel display using the display unevenness detecting means of Fig. 1 for the detection result of the display unevenness.

1‧‧‧Display uneven detection device

3‧‧‧LCD panel display

5‧‧‧CCD camera

Claims (10)

A display unevenness detecting method for a display element, comprising: a pixel value obtaining step of obtaining pixel values of each pixel of the display element according to an output image data obtained by capturing an image displayed by the display element; and an integration step by using a spatial filter having a core size corresponding to the display unevenness and size of the display element, wherein each pixel value of the display element and the pixel value of the peripheral pixel are averaged and integrated to obtain an integral of each pixel of the display element a pixel value; a differentiation step of obtaining a differential pixel value of each pixel of the display element by a difference between the pixel value and the integrated pixel value in each pixel of the display element; and a non-uniform area detecting step according to the display element The distribution of the pixels in which the differential pixel value exceeds the predetermined unevenness determination threshold value detects the generation region of the display unevenness in the display element. The display unevenness detecting method of the display element according to the first aspect of the invention, further comprising: an emphasizing step of using the spatial filter for emphasizing the extending direction of the display unevenness as the detection target, and displaying the display The pixel values of the elements and the pixel values of the peripheral pixels in the extending direction are averaged, and the integrating pixel values are obtained for the pixel values of the pixels of the display elements averaged by the emphasis step in the integrating step. The display unevenness detecting method of the display element according to the first or second aspect of the invention, wherein the target pixel of the integrated pixel value belongs to any one of the vicinity of each outer periphery of the display element, that is, in the foregoing In the integration step, the pixel value of the acquisition target pixel is integrated by using the spatial filter whose sensitivity is reduced in a direction orthogonal to the direction in which the edge extends, and the edge corresponds to a region in the vicinity of the acquisition target pixel. The display unevenness detecting method of the display element according to claim 1 or 2, further comprising: an intensity value obtaining step of obtaining the generated region based on the pixel value or the differential pixel value of each pixel belonging to the generating region And displaying the unevenness intensity value; and detecting the step of detecting the occurrence region in which the intensity value exceeds a predetermined unevenness intensity threshold as the display unevenness. The display unevenness detecting method of the display element of claim 3, further comprising: an intensity value obtaining step of obtaining the display of the generated area based on the pixel value or the differential pixel value of each pixel belonging to the generating area a non-uniform intensity value; and a detecting step of detecting the occurrence region in which the intensity value exceeds a predetermined unevenness intensity threshold as the display unevenness. A display unevenness detecting device for a display device, comprising: a pixel value obtaining means for assigning each pixel value of an output image data obtained by capturing an image displayed by a display element to each pixel of the display element, and acquiring each pixel of the display element a pixel value; the integration means integrates the pixel values of the display elements and the pixel values of the peripheral pixels by using a spatial filter having a core size corresponding to the display unevenness and size of the display element, and integrates Obtaining an integrated pixel value of each pixel of the display element; and a differential means, wherein the pixel value in each pixel of the display element is used Obtaining a differential pixel value of each pixel of the display element from the difference between the integrated pixel values; and comparing the differential pixel value of each pixel of the display element with a predetermined unevenness determination threshold; and the uneven area The detecting means detects the generation region of the display unevenness in the display element based on the distribution of the pixels in which the differential pixel value exceeds the unevenness determination threshold. The display unevenness detecting device of the display device of the sixth aspect of the invention, further comprising: an emphasis means for using the spatial filter for emphasis on the direction of extension of the display unevenness as the detection target, and displaying the display The pixel values of the elements and the pixel values of the peripheral pixels in the extending direction are averaged. The integration means acquires the integrated pixel values for the pixel values of the pixels of the display elements averaged by the emphasis means. The display unevenness detecting device of the display device of the sixth or seventh aspect of the invention, wherein the integration means, when the acquisition target pixel of the integrated pixel value belongs to any of the vicinity of each outer periphery of the display element, In other words, the spatial filter having the sensitivity reduced in the direction orthogonal to the direction in which the sides extend is integrated with the pixel value of the acquisition target pixel, and the side corresponds to the vicinity of the acquisition target pixel. The display unevenness detecting device of the display device according to claim 6 or 7, further comprising: an intensity value obtaining means for obtaining the generated region based on the pixel value or the differential pixel value of each pixel belonging to the generating region Showing the uneven intensity value; The intensity value comparison means compares the intensity value with a predetermined unevenness intensity threshold value, and the detecting means detects the occurrence region in which the intensity value exceeds a predetermined unevenness intensity threshold value as the display unevenness. The display unevenness detecting device of the display device of claim 8, further comprising: an intensity value obtaining means for obtaining the display of the generated region based on the pixel value or the differential pixel value of each pixel belonging to the generating region The unevenness intensity value; the intensity value comparison means compares the intensity value with the predetermined unevenness intensity threshold value; and the detecting means detects the occurrence region in which the intensity value exceeds the predetermined unevenness intensity threshold value as the display unevenness.