WO2016101376A1 - 确定彩色滤色块与黑矩阵的交叠区域的边缘的方法 - Google Patents

确定彩色滤色块与黑矩阵的交叠区域的边缘的方法 Download PDF

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WO2016101376A1
WO2016101376A1 PCT/CN2015/071234 CN2015071234W WO2016101376A1 WO 2016101376 A1 WO2016101376 A1 WO 2016101376A1 CN 2015071234 W CN2015071234 W CN 2015071234W WO 2016101376 A1 WO2016101376 A1 WO 2016101376A1
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Prior art keywords
color filter
black matrix
area
filter block
value
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French (fr)
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史凯
陈林豆
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B7/00—Mountings, adjusting means, or light-tight connections, for optical elements
    • G02B7/003—Alignment of optical elements
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1335—Structural association of cells with optical devices, e.g. polarisers or reflectors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B5/00—Optical elements other than lenses
    • G02B5/003—Light absorbing elements
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B5/00—Optical elements other than lenses
    • G02B5/20—Filters
    • G02B5/22—Absorbing filters
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/1306—Details
    • G02F1/1309—Repairing; Testing
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/2007—Display of intermediate tones
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1335—Structural association of cells with optical devices, e.g. polarisers or reflectors
    • G02F1/133509—Filters, e.g. light shielding masks
    • G02F1/133512—Light shielding layers, e.g. black matrix
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1335—Structural association of cells with optical devices, e.g. polarisers or reflectors
    • G02F1/133509—Filters, e.g. light shielding masks
    • G02F1/133514—Colour filters
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2310/00—Command of the display device
    • G09G2310/02—Addressing, scanning or driving the display screen or processing steps related thereto
    • G09G2310/0264—Details of driving circuits
    • G09G2310/027—Details of drivers for data electrodes, the drivers handling digital grey scale data, e.g. use of D/A converters

Definitions

  • the present invention relates to the field of display technology, and in particular to a method of determining an edge of an overlapping region of a color filter block and a black matrix.
  • the size of the color filter block and its intersection with the black matrix should be strictly controlled.
  • the size of the stack area The method used in the industry to determine the overlap region is mainly performed by using the difference between the gray filter values at the edges of the color filter block and the black matrix. Specifically, the edge of the overlap region can be located by the following steps:
  • the area to be detected is imaged by a charge-coupled device (CCD), and the area to be detected includes one color filter block 1 of different colors.
  • the color filter blocks 1 of different colors in FIG. 1 have different filling patterns.
  • Matrix 3 In FIG. 2, the gray scale value is represented by the degree of density of the filling pattern. The higher the gray scale value, the looser the filling pattern, and vice versa.
  • an original grayscale value curve as shown in FIG. 3 is drawn.
  • a differential operation is performed according to the original gray scale value curve to obtain a differential gray scale value curve.
  • the overlap region 2 includes a first overlap region 21 and a second overlap region 22 having different gray scale values. Therefore, the original grayscale value curve shown in FIG. 3 basically includes four stages, and the corresponding differential grayscale value curve includes three distinct extreme values.
  • the engineer can set the extreme value range T d , as shown in Fig. 3, the range between the two double dotted lines is T d , and the detecting device can obtain the three obvious poles according to the extreme value range T d set by the engineering personnel. value.
  • the overlapping region 2 of the color filter block 1 and the black matrix 3 can be determined based on the first significant extreme value appearing from left to right and the third apparent extreme value. But the inventors found that, as shown in Figures 4 and 5, It is the engineering staff's improper setting of the extreme value range, and the light intensity when the area to be detected is low, there will be four more obvious extreme values. Obviously, the edge of the overlapping region 2 determined according to the above method at this time will not be in accordance with the actual situation.
  • the edge of the overlap region 2 also changes, and the width of the overlap region 2 becomes larger or smaller. As shown in FIGS. 4 to 7, the width of the overlap region 2 becomes larger or smaller, which will result in an increase in the number of extreme values (four in FIG. 5) or decrease (two in FIG. 7). In the case, the edge of the overlap region 2 cannot be obtained according to the method of the prior art.
  • the problem of the edges of the overlapping regions of the black matrix is not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not limited to, but not a color filter block and a black matrix.
  • the present invention provides a method of determining an edge of an overlapping region of a color filter block and a black matrix, the method comprising:
  • Obtaining a measurement area to be detected including a color filter block, a black matrix, and an overlapping area thereof;
  • the measurement area to be detected including the color filter block, the black matrix and the overlapping area thereof is specifically:
  • a measurement area to be detected including a color filter block, a black matrix, and an overlap region thereof is obtained.
  • the method further comprises:
  • obtaining a measurement area to be detected including a reference of a color filter block, a black matrix, and an overlap region thereof;
  • the original threshold is determined based on the original grayscale value curve.
  • the method further includes: adjusting the light intensity, corresponding to each light intensity, acquiring gray scale values of the color filter block, the black matrix and the overlapping region thereof in the measurement region of the reference, and storing the generated reference gray scale value table .
  • the first preset rule is to find gray scale values of the corresponding color filter blocks and black matrices in the reference gray scale value table according to the gray color values of the color filter blocks and the black matrix of the measurement area to be detected. And obtain the grayscale value of the corresponding overlapping region in the reference grayscale value table.
  • the second preset rule is a gray color value of a color filter block and a black matrix of the measurement area to be detected according to an original threshold, a corresponding color filter block in the reference gray scale value table, a black matrix, and a cross The grayscale value of the overlap region, building a threshold.
  • the overlap region includes a first overlap region and a second overlap region having different grayscale values.
  • the second preset rule is specifically: a smaller value of the grayscale value of the color filter block and the black matrix in the measurement area to be detected, a corresponding color filter block in the reference grayscale value table, and The larger value of the gray scale value of the black matrix, the larger value of the gray scale value of the first overlap region and the second overlap region in the acquired overlap region, and the original threshold are used to construct the threshold.
  • the third preset rule is to acquire the to-be-detected area according to the matching area and the position of the matching area in the reference area.
  • the method further includes:
  • the original gray scale value curve is fitted by the Gaussian fitting curve method or the binomial difference method, and the width values of the overlapping regions are obtained by combining the determined edges of the overlapping regions of the color filter block and the black matrix.
  • the present invention brings about the following advantageous effects:
  • a method for determining an edge of an overlapping region of a color filter block and a black matrix which can prevent light intensity or CF substrate process
  • the offset in the middle causes the determined edge of the overlapping area to be inconsistent with the actual situation, and the operation is simple, which is beneficial to improve the accuracy and stability of the overlapping area measurement.
  • FIG. 1 is a schematic view of a region to be detected or a reference region in an embodiment of the present invention in the background art
  • Figure 2 is an enlarged schematic view of the measurement area of Figure 1;
  • Figure 4 is an enlarged schematic view 2 of the measurement area of Figure 1;
  • Figure 5 is an original gray scale value curve and a differential gray scale value curve of Figure 4.
  • Figure 6 is an enlarged schematic view 3 of the measurement area of Figure 1;
  • Figure 7 is an original gray scale value curve and a differential gray scale value curve of Figure 6;
  • FIG. 8 is a flow chart 1 of a method for determining an edge of an overlapping area of a color filter block and a black matrix in an embodiment of the present invention
  • FIG. 9 is a second schematic diagram of a method for determining an edge of an overlapping area of a color filter block and a black matrix in an embodiment of the present invention.
  • FIG. 11 is a schematic diagram of an area to be detected in an embodiment of the present invention.
  • Figure 12 is an enlarged schematic view of the measurement area of Figure 11;
  • a method for determining an edge of an overlapping area of a color filter block and a black matrix according to an embodiment of the present invention is as shown in FIG. 8.
  • the method includes:
  • Step S102 Draw an original grayscale value curve and a differential grayscale value curve of the measurement area to be detected, and determine an extreme value of the differential grayscale value curve according to the preset extreme value range.
  • Step S103 Acquire a grayscale value of an overlap region between the color filter block and the black matrix according to the grayscale value of the color filter block and the black matrix of the measurement area to be detected, in combination with the first preset rule.
  • Step S105 Obtain two extreme values of the difference between the grayscale value curve and the intersection point according to the two intersections of the threshold and the original grayscale value curve, and determine an overlapping area of the color filter block and the black matrix according to the two extreme values. the edge of.
  • a method for determining an edge of an overlapping area of a color filter block and a black matrix is provided, which can prevent the light intensity or the offset in the CF substrate process from causing the determined intersection.
  • the edge of the overlap region does not conform to the actual situation, and the operation is simple, which is beneficial to improve the accuracy and stability of the measurement of the overlap region.
  • Step S202 Obtain color filter blocks of different colors and gray scale values of the black matrix in the reference area.
  • gray scale value reference area 8 may be taken in a larger area of each color filter block 1 and black matrix 2, and the average gray scale value of the gray scale value reference area 8 defaults to corresponding The gray scale value of the color filter block 1 or the black matrix 2.
  • the grayscale value reference region 8 is usually located near the center of the larger region of the color filter block 1 or the black matrix 3.
  • Step S203 Acquire, for color filter blocks of different colors, a measurement area including a reference of a color filter block, a black matrix, and an overlap region thereof.
  • the measurement area 9 of the reference obtained from FIG. 1 is as shown in FIG. 2.
  • Step S204 drawing an original grayscale value curve and a differential grayscale value curve of the measurement area of the reference, and setting an extreme value range to determine an extreme value of the differential grayscale value curve.
  • the original gray scale value curve and the differential gray scale value curve can be drawn according to the gray scale value distribution of the measurement area 9 of the reference.
  • the original grayscale value curve can be divided into four segments a, b, c and d according to the four stages of the original grayscale value curve, and the four are represented by G a , G b , G c and G d respectively.
  • the grayscale value of the segment can be divided into four segments a, b, c and d according to the four stages of the original grayscale value curve, and the four are represented by G a , G b , G c and G d respectively.
  • an extreme value range T d is required in order to determine the extreme value of the differential gray scale curve. Therefore, the determination of the extreme value range T d should be in accordance with the distribution of the differential gray scale value curve, and it is necessary to ensure that the extreme value range T d covers an insignificant extreme value and that the more significant extreme value remains in the extreme value range T Outside of d . As shown in FIG. 3, since most of the differential gray-scale value curves are floating around a straight line with a gray-scale value of 0, only a few (three in this case) extreme values are significantly larger than 0 or smaller than zero.
  • the extreme value range T d can be set to two values that are substantially symmetrically distributed on both sides of the line characterizing the gray scale value of 0, such as ⁇ 10, ⁇ 30, and the like.
  • Step S205 Determine an original threshold according to an original grayscale value curve.
  • the average gray scale values of the four regions of the second overlap region 22 and the color filter block 1 are recorded, and the average gray scale values of the four regions are denoted by G a1 , G b1 , G c1 and G d1 , respectively.
  • the saturated grayscale value is 255.
  • the light intensity of the color filter substrate is 86 W
  • the average gray scale value of the color filter block 1 in the measurement area 9 of a certain reference reaches 255, and the reference gray scale value table shown below can be obtained:
  • the gray scale value of the color filter block 1 is significantly increased in accordance with the increase in light intensity.
  • the other areas of the color filter substrate can be detected according to the reference values determined by the reference area.
  • the method for obtaining the measurement area 9 to be detected is as shown in FIG. 10, and includes:
  • a gray-scale value reference area 8 is also taken in a large area of each color filter block 1 and black matrix 3, and the gray-scale value is used to refer to the average gray level of the area 8.
  • the value refers to the grayscale value of the color filter block 1 or the black matrix 2.
  • Step S303 Acquire a measurement area to be detected including a color filter block, a black matrix and an overlapping area thereof for color filter blocks of different colors.
  • the differential gray scale value curve of the measurement area to be detected corresponds to three extreme values.
  • t 1 MAX(G b , G c )
  • t 2 MIN(G' a , G' d )
  • t 3 MAX(G a , G d ).
  • G' a and G' b refer to the gray scale values of the color filter block 1 and the black matrix 3 in the measurement area 9 to be detected.
  • each extreme value of the differential gray scale value curve exactly corresponds to the edge of a certain area of the measurement area 9 to be detected.
  • the edge of the overlap region 2 of the color filter block 1 and the black matrix 3 can then be determined from the two extreme values.
  • the method for determining the edge of the overlap region 2 provided by the present invention is also applicable to the case where the light intensity is unsuitable or the width of the overlap region is changed so that the number of extreme values acquired according to the extreme value range T d is not three. .
  • the measurement region 9 to be detected may include five regions.
  • the overlap region 2 includes the first overlap region 21, the second overlap region 22, and the third overlap region 23 having different gray scale values. And accordingly, as shown in FIG.
  • the measurement region 9 to be detected may include only three regions. There is no significant boundary inside the overlap region 2 at this time.
  • the original gray-scale value curve corresponding to the measurement area 9 to be detected includes three stages, and the obtained difference gray-scale value curve is combined with the extreme value range, and the difference gray-scale value curve includes only two more obvious extreme values. .
  • Figure 7 constructed using the threshold value T 'S, its two intersection points to obtain the original grayscale value curve.
  • the two extreme values closest to the two intersections are the leftmost and rightmost extreme values, respectively, and the edges of the overlapping regions 2 of the color filter block 1 and the black matrix 3 can be determined from the two extreme values.

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Abstract

一种确定彩色滤色块（1）与黑矩阵（3）的交叠区域（2）的边缘的方法，包括：绘制待检测的量测区域（9）的原始灰阶值曲线和差分灰阶值曲线，确定差分灰阶值曲线的极值；获取彩色滤色块（1）和黑矩阵（3）之间的交叠区域（2）的灰阶值；构建阈值；获取差分灰阶值曲线上分别与两个交点最接近的两个极值，根据两个极值确定彩色滤色块（1）与黑矩阵（3）的交叠区域（2）的边缘。

Description

确定彩色滤色块与黑矩阵的交叠区域的边缘的方法
本申请要求享有2014年12月26日提交的名称为“确定彩色滤色块与黑矩阵的交叠区域的边缘的方法”的中国专利申请CN201410837283.5的优先权，其全部内容通过引用并入本文中。
技术领域
本发明涉及显示技术领域，具体地说，涉及一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法。
背景技术
在彩膜(Color Filter，简称CF)基板的生产过程中，为了防止发生漏光或相邻的彩色滤色块之间重叠的问题，应当严格管控彩色滤色块的大小及其与黑矩阵的交叠区域的大小。目前业界所采用的确定交叠区域的方法，主要是利用彩色滤色块和黑矩阵的边缘处的灰阶值差异进行的。具体的，可通过以下步骤对交叠区域的边缘进行定位：
如图1所示，利用电荷耦合元件(Charge-coupled Device，简称CCD)对待检测区域进行成像，该待检测区域包括颜色不同的彩色滤色块1各一。为便于区分，图1中颜色不同的彩色滤色块1的填充图案不同。放大待检测区域中的虚线框对应的待检测的量测区域9，如图2所示，该待检测的量测区域9包括交叠区域2以及其两侧的部分彩色滤色块1和黑矩阵3。图2中利用填充图案的疏密程度来表示灰阶值，灰阶值越高，填充图案越疏松，反之同理。接着根据该待检测的量测区域9从左至右的灰阶值的变化情况，绘制如图3所示的原始灰阶值曲线。根据该原始灰阶值曲线进行差分运算，得到差分灰阶值曲线。由于彩色滤色块1和黑矩阵3的交叠程度的不同，交叠区域2一股包括灰阶值不同的第一交叠区域21和第二交叠区域22。因此，图3所示的原始灰阶值曲线基本包括四个阶段，相应的差分灰阶值曲线包括三个明显的极值。工程人员可设置极值范围Td，如图3中两双点划线之间的范围即为Td，则检测装置可根据工程人员设定的极值范围Td获得该三个明显的极值。
现有技术中，通常是认为可根据自左向右出现的第一个明显的极值以及第三个明显的极值确定出彩色滤色块1和黑矩阵3的交叠区域2。但发明人发现，如图4和5所示，若 是工程人员对极值范围的设定不当，同时待检测区域成像时的光强较低，将有可能出现四个较明显的极值。显然，此时根据上述方法确定得到的交叠区域2的边缘将与实际情况不符。
另外，若是CF基板的制程中，CF基板发生了精度范围内的偏移，则交叠区域2的边缘也会发生改变，导致交叠区域2的宽度变大或变小。如图4至图7所示，交叠区域2的宽度变大或变小，都将导致极值的数目增多(如图5中的四个)或减少(如图7中的两个)的情况，无法根据现有技术的方法得到交叠区域2的边缘。
发明内容
本发明的目的在于提供一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，以解决光强不适合或交叠区域的宽度发生变化，而无法准确确定出彩色滤色块与黑矩阵的交叠区域的边缘的问题。
本发明提供了一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，该方法包括：
获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域；
绘制待检测的量测区域的原始灰阶值曲线和差分灰阶值曲线，根据预设置的极值范围，确定差分灰阶值曲线的极值；
根据待检测的量测区域的彩色滤色块和黑矩阵的灰阶值，结合第一预设规则，获取彩色滤色块和黑矩阵之间的交叠区域的灰阶值；
根据彩色滤色块、黑矩阵以及交叠区域的灰阶值，结合第二预设规则，构建阈值；
根据阈值与原始灰阶值曲线的两个交点，获取差分灰阶值曲线上分别与两个交点最接近的两个极值，根据两个极值确定彩色滤色块与黑矩阵的交叠区域的边缘。
其中，获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域具体为：
结合第三预设规则，获取待检测区域，所述待检测区域包括颜色不同的彩色滤色块各一；
在所述待检测区域中获取各彩色滤色块以及黑矩阵的灰阶值；
对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域。
其中，该方法还包括：
在同一彩膜基板上，确定基准区域，所述基准区域包括颜色不同的彩色滤色块各一，并确定所述基准区域的匹配区域；
在所述基准区域中，获取颜色不同的彩色滤色块以及黑矩阵的灰阶值；
对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的基准的待检测的量测区域；
绘制基准的量测区域的原始灰阶值曲线和差分灰阶值曲线，设置并存储极值范围以确定差分灰阶值曲线的极值；
根据原始灰阶值曲线，确定原始阈值。
其中，该方法还包括：调节光强，对应每一光强，获取基准的量测区域中的彩色滤色块、黑矩阵及其交叠区域的灰阶值，并存储生成基准灰阶值表。
其中，所述第一预设规则为根据待检测的量测区域的彩色滤色块和黑矩阵的灰阶值，查找基准灰阶值表中相应的彩色滤色块和黑矩阵的灰阶值，并获取基准灰阶值表中对应的交叠区域的灰阶值。
其中，所述第二预设规则为根据原始阈值、待检测的量测区域的彩色滤色块和黑矩阵的灰阶值、基准灰阶值表中相应的彩色滤色块、黑矩阵和交叠区域的灰阶值，构建阈值。
其中，交叠区域包括灰阶值不同的第一交叠区域和第二交叠区域。
其中，所述第二预设规则具体为：根据待检测的量测区域中的彩色滤色块和黑矩阵的灰阶值的较小值、基准灰阶值表中相应的彩色滤色块和黑矩阵的灰阶值的较大值、获取到的交叠区域中的第一交叠区域和第二交叠区域的灰阶值的较大值，结合原始阈值，构建阈值。
其中，所述第三预设规则为根据匹配区域以及匹配区域在基准区域中的位置，获取待检测区域。
其中，所述根据两个极值确定彩色滤色块与黑矩阵的交叠区域的边缘之后，还包括：
利用高斯拟合曲线法或二项式差值法拟合原始灰阶值曲线，并结合确定出的彩色滤色块和黑矩阵的交叠区域的边缘，得到交叠区域的宽度值。
本发明带来了以下有益效果：在本发明实施例的技术方案中，提供了一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，该方法能够防止光强或CF基板制程中的偏移导致确定出的交叠区域的边缘与实际不符的情况发生，并且操作简便，有利于提高交叠区域量测的准确性和稳定性。
本发明的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本发明而了解。本发明的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要的附图做简单的介绍：
图1是背景技术中的待检测区域或本发明实施例中的基准区域的示意图；
图2是图1中的量测区域的放大示意图一；
图3是图2的原始灰阶值曲线和差分灰阶值曲线；
图4是图1中的量测区域的放大示意图二；
图5是图4的原始灰阶值曲线和差分灰阶值曲线；
图6是图1中的量测区域的放大示意图三；
图7是图6的原始灰阶值曲线和差分灰阶值曲线；
图8是本发明实施例中的确定彩色滤色块与黑矩阵的交叠区域的边缘的方法的流程示意图一；
图9是本发明实施例中的确定彩色滤色块与黑矩阵的交叠区域的边缘的方法的流程示意图二；
图10是本发明实施例中的确定彩色滤色块与黑矩阵的交叠区域的边缘的方法的流程示意图三；
图11是本发明实施例中的待检测区域的示意图；
图12是图11中的量测区域的放大示意图；
图13是图12的原始灰阶值曲线和差分灰阶值曲线。
具体实施方式
以下将结合附图及实施例来详细说明本发明的实施方式，借此对本发明如何应用技术手段来解决技术问题，并达成技术效果的实现过程能充分理解并据以实施。需要说明的是，只要不构成冲突，本发明中的各个实施例以及各实施例中的各个特征可以相互结合，所形成的技术方案均在本发明的保护范围之内。
实施例一
本发明实施例提供的一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，如图8，该方法包括：
步骤S102、获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域。
步骤S102、绘制待检测的量测区域的原始灰阶值曲线和差分灰阶值曲线，根据预设置的极值范围，确定差分灰阶值曲线的极值。
步骤S103、根据待检测的量测区域的彩色滤色块和黑矩阵的灰阶值，结合第一预设规则，获取彩色滤色块和黑矩阵之间的交叠区域的灰阶值。
步骤S104、根据彩色滤色块、黑矩阵以及交叠区域的灰阶值，结合第二预设规则，构建阈值。
步骤S105、根据阈值与原始灰阶值曲线的两个交点，获取差分灰阶值曲线与各交点最接近的两个极值，根据两个极值确定彩色滤色块与黑矩阵的交叠区域的边缘。
在本发明实施例的技术方案中，提供了一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，该方法能够防止光强或CF基板制程中的偏移导致确定出的交叠区域的边缘与实际不符的情况发生，并且操作简便，有利于提高交叠区域量测的准确性和稳定性。
实施例二
在本发明实施例中，在执行图8所示的方法之前，需要先确定基准区域并根据该基准区域确定一些参考值，具体步骤如图9所示：
步骤S201、在同一彩膜基板上，确定基准区域，基准区域包括颜色不同的彩色滤色块各一，并确定基准区域的匹配区域。
具体的，该基准区域为在该彩膜基板上所选取的光强适当、且每一彩色滤色块1周围的交叠区域2的宽度基本一致的区域，如图1所示。基准区域中确定的匹配区域7如图1中所示，包括阵列基板上某一对应薄膜晶体管的区域。该匹配区域7的确定有利于获取与该基准区域近似的待检测区域。从而可以更好地根据基准区域来分析待检测区域。
步骤S202、在基准区域中，获取颜色不同的彩色滤色块以及黑矩阵的灰阶值。
具体的，如图1所示，可在各彩色滤色块1以及黑矩阵2的较大区域中取灰阶值参考区域8，该灰阶值参考区域8的平均灰阶值默认为对应的彩色滤色块1或黑矩阵2的灰阶值。为了保证所获取到的灰阶值1较为准确，该灰阶值参考区域8通常位于彩色滤色块1或黑矩阵3的较大区域的中心附近。
步骤S203、对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的基准的量测区域。
具体的，从图1中获取的基准的量测区域9如图2所示。
步骤S204、绘制基准的量测区域的原始灰阶值曲线和差分灰阶值曲线，设置极值范围以确定差分灰阶值曲线的极值。
如图3所示，在获取到图2所示的基准的量测区域9后，即可根据该基准的量测区域9的灰阶值分布情况绘制原始灰阶值曲线和差分灰阶值曲线。为了方便描述，可根据原始 灰阶值曲线的四个阶段将原始灰阶值曲线分为a、b、c和d四段，用Ga、Gb、Gc和Gd来分别表示这四段的灰阶值。
为了确定差分灰阶曲线的极值，需要借助极值范围Td。因此，极值范围Td的确定应依照差分灰阶值曲线的分布情况，既要保证极值范围Td覆盖了不够明显的极值、又要保证较明显的极值保留在极值范围Td之外。如图3所示，由于差分灰阶值曲线大部分在灰阶值为0的直线左右浮动，仅有几处(此时为三处)的极值明显大于0或小于0。极值范围Td可设置为基本对称分布在表征灰阶值为0的直线两侧的两个值，例如±10、±30等。
步骤S205、根据原始灰阶值曲线，确定原始阈值。
如图3中的单点划线所示，原始阈值TS应使得被分成了四段的原始灰阶值曲线平均分布在原始阈值TS的两侧，即灰阶值较高的a段和d段位于原始阈值TS之上，灰阶值较低的b段和c段位于原始阈值TS之下。即原始阈值TS应为：MAX(Gb，Gc)≤TS≤MIN(Ga，Gd)。
进一步的，还应根据获取到的基准区域构建基准灰阶值表，留待分析待检测区域时使用。具体的，构建基准灰阶值表的方法为：调节光强，对应每一光强，获取基准的量测区域9中的彩色滤色块1、黑矩阵3及其交叠区域2的灰阶值，并存储生成基准灰阶值表。具体的，针对图2所示的基准的量测区域9，将光强从0开始逐渐增加，每增加1份光强就将基准的量测区域9的黑矩阵3、第一交叠区域21、第二交叠区域22和彩色滤色块1四个区域的平均灰阶值记录下来，该四个区域的平均灰阶值分别用Ga1、Gb1、Gc1和Gd1指代。直至其中某一区域的平均灰阶值达到饱和(对于8位灰阶值的CCD而言，其饱和的灰阶值为255)。例如对于某一彩膜基板，利用100W的光源对其进行照射，每次增加1W的光强。该彩膜基板在光强为86W时，某一基准的量测区域9内的彩色滤色块1的平均灰阶值达到255，则可获得如下所示的基准灰阶值表：
Figure PCTCN2015071234-appb-000001
显然，彩色滤色块1的灰阶值根据光强的增加而明显增大。
在对获取的基准区域分析完毕后，可根据基准区域所确定的各参考值对彩膜基板的其他区域进行检测。
根据图8所示的确定彩色滤色块1与黑矩阵3的交叠区域2的边缘的方法，首先，需要获取待检测的量测区域9。获取待检测的量测区域9的方法如图10所示，包括：
步骤S301、结合第三预设规则，获取待检测区域，待检测区域包括颜色不同的彩色滤色块各一。
具体的，该第三预设规则为根据匹配区域7以及匹配区域7在基准区域中的位置，获取待检测区域。所获取到的待检测区域中存在与该基准区域的匹配区域7的匹配程度大于预设值(例如95％)的匹配区域7，并且待检测区域中的匹配区域7在待检测区域中的位置与基准区域的匹配区域7在基准区域中的位置一致。则可根据基准区域确定的参考值，有效地分析待检测区域，确定待检测区域的彩色滤色块1和黑矩阵3之间的交叠区域2的边缘。显然，如图11所示，此时获取到的待检测区域所包括的结构、形状与基准区域类似，也包括颜色不同的彩色滤色块1各一。
在本发明实施例中，假设获取待检测区域时的光强弱于获取基准区域时的光强。因此，比较图11和图1可知，该待检测区域中的彩色滤色块1的灰阶值小于基准区域的彩色滤色块1的灰阶值，可从填充图案的密集程度看出。
步骤S302、在待检测区域中获取各彩色滤色块以及黑矩阵的灰阶值。
与基准区域类似的，如图11所示，同样在各彩色滤色块1以及黑矩阵3的较大区域中取一灰阶值参考区域8，利用该灰阶值参考区域8的平均灰阶值指代彩色滤色块1或黑矩阵2的灰阶值。
步骤S303、对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域。
与图1所示的基准区域类似的，在图11中所示的待检测区域中获取某一彩色滤色块的待检测的量测区域9。显然，如图12所示，基准的量测区域9中的彩色滤色块1的灰阶值大于待检测的量测区域9中的彩色滤色块1的灰阶值，其余各区域的灰阶值没有明显改变。
接下来，可执行如8所示的确定彩色滤色块与黑矩阵的交叠区域的边缘的方法。
如图8所示，在获取待检测的量测区域9后，与基准的量测区域9类似的，需绘制待检测的量测区域的原始灰阶值曲线和差分灰阶值曲线。同时，根据在前文中已预设置好的极值范围，确定差分灰阶值曲线的极值。
此时该待检测的量测区域的差分灰阶值曲线对应包括三个极值。
进而，如图8所示，可根据待检测的量测区域9的彩色滤色块1和黑矩阵3的灰阶值，同时结合第一预设规则，获取彩色滤色块1和黑矩阵3之间的交叠区域2的灰阶值。此时， 该第一预设规则为根据待检测的量测区域9的彩色滤色块1和黑矩阵3的灰阶值，查找基准灰阶值表中相应的彩色滤色块1和黑矩阵3的灰阶值，并获取基准灰阶值表中对应的交叠区域2的灰阶值。具体的，为查找基准灰阶值表中相等的或最接近的彩色滤色块1和黑矩阵3的灰阶值。
例如，此时彩色滤色块1的灰阶值为91，黑矩阵3的灰阶值为142，则可查询基准灰阶值表，获得交叠区域2的第一交叠区域21和第二交叠区域22的灰阶值分别为36和78。
接着，在得知彩色滤色块1、黑矩阵3以及交叠区域2的灰阶值之后，可结合第二预设规则，构建阈值T′S。第二预设规则为根据原始阈值TS、待检测的量测区域9的彩色滤色块1和黑矩阵3的灰阶值、基准灰阶值表中相应的彩色滤色块1、黑矩阵3和交叠区域2的灰阶值，构建阈值T′S。
由于如图2所示，此时获取的基准的量测区域9的交叠区域2包括灰阶值不同的第一交叠区域21和第二交叠区域22，如图12所示，获取到的待检测的量测区域9中也包括灰阶值不同的第一交叠区域21和第二交叠区域22。则第二预设规则具体为：根据待检测的量测区域9中的彩色滤色块1和黑矩阵3的灰阶值的较小值、基准灰阶值表中相应的彩色滤色块1和黑矩阵3的灰阶值的较大值、获取到的交叠区域2中的第一交叠区域21和第二交叠区域22的灰阶值的较大值，结合原始阈值TS，构建阈值T′S。即根据下式构建阈值：
Figure PCTCN2015071234-appb-000002
上式中，t1＝MAX(Gb，Gc)，t2＝MIN(G′a，G′d)，t3＝MAX(Ga，Gd)。其中，G′a和G′b指代待检测的量测区域9中的彩色滤色块1和黑矩阵3的灰阶值。
如图13所示，可知在本发明实施例中，由于待检测的量测区域9的彩色滤色块1的灰阶值小于基准的量测区域9的彩色滤色块1的灰阶值，导致此时的阈值T′S(点双划线)小于原始阈值TS(点划线)。
继而，可得到阈值T′S与原始灰阶值曲线的两个交点。此时获取差分灰阶值曲线上与两个交点最接近的两个极值，根据两个极值确定彩色滤色块1与黑矩阵3的交叠区域2的边缘。
例如，结合图12和图13所示，此时差分灰阶值曲线上分别与两个交点最接近的两个极值为最左侧的极值以及最右侧的极值。并且结合待检测的量测区域9和差分灰阶值曲线可知，差分灰阶值曲线的每一极值恰好对应待检测的量测区域9的某一区域的边缘。则可根据两个极值确定彩色滤色块1与黑矩阵3的交叠区域2的边缘。
本发明所提供的确定交叠区域2的边缘的方法同样适用于光强不适合或交叠区域的宽度发生变化导致根据极值范围Td获取到的极值的个数不为三个的情况。如图4所示，当光强较弱或交叠区域2的宽度较大时，根据灰阶值来划分，待检测的量测区域9可能包括五个区域。此时，交叠区域2包括灰阶值不相同的第一交叠区域21、第二交叠区域22和第三交叠区域23。则相应的，如图5所示，待检测的量测区域9对应的原始灰阶值曲线包括五个阶段，得到的差分灰阶值曲线结合极值范围Td可知，该原始灰阶值曲线包括四个较明显的极值。此时如图5所示，利用构建的阈值T′S，得到其与原始灰阶值曲线的交点。与这两个交点最接近的两个极值分别为最左侧和最右侧的极值，则可根据两个极值确定彩色滤色块1与黑矩阵3的交叠区域2的边缘。
另外，如图6所示，当交叠区域2的宽度较小时，根据灰阶值来划分，待检测的量测区域9可能仅包括三个区域。此时交叠区域2内部没有明显的分界。则相应的，待检测的量测区域9对应的原始灰阶值曲线包括三个阶段，得到的差分灰阶值曲线结合极值范围可知，差分灰阶值曲线仅包括两个较明显的极值。此时如图7所示，利用构建的阈值T′S，得到其与原始灰阶值曲线的两个交点。与这两个交点最接近的两个极值分别为最左侧和最右侧的极值，则可根据两个极值确定彩色滤色块1与黑矩阵3的交叠区域2的边缘。
综上可知，最左侧的极值的左侧均为黑矩阵3，右侧为交叠区域2，则该最左侧的极值对应黑矩阵3的边缘；类似的，最右侧的极值的右侧均为彩色滤色块1，左侧为交叠区域2，则该最右侧的极值对应彩色滤色块1的边缘。显然，本发明实施例所提供的确定交叠区域2的边缘的方法的基本思想是确定出黑矩阵3以及彩色滤色块1的边缘，进而可得到交叠区域2的边缘。
进一步的，在确定交叠区域的边缘之后，可利用高斯拟合曲线法或二项式差值法拟合原始灰阶值曲线，并结合确定出的彩色滤色块1和黑矩阵3的交叠区域2的边缘，计算出亚像素精度下的边缘位置，从而得到交叠区域2的宽度值。
需要说明的是，在本发明实施例中，为了方便说明，图1或图11中仅包括一量测区域9。实际上，由于一彩色滤色块1四周的交叠区域2的宽度不一定相等。为了更好地了解彩色滤色块1各处的交叠区域2的宽度，因此，在实际使用中，通常需要针对彩色滤色块1的各边缘获取至少一量测区域9。本发明实施例对此不进行赘述。
虽然本发明所公开的实施方式如上，但所述的内容只是为了便于理解本发明而采用的实施方式，并非用以限定本发明。任何本发明所属技术领域内的技术人员，在不脱离本发明所公开的精神和范围的前提下，可以在实施的形式上及细节上作任何的修改与变化，但本发明的专利保护范围，仍须以所附的权利要求书所界定的范围为准。
附图标记说明：
1-彩色滤色块；     2-交叠区域；        21-第一交叠区域；
22-第二交叠区域；  23-第三交叠区域；   3-黑矩阵；
7-匹配区域；       8-灰阶值参考区域；  9-量测区域。

Claims (10)

  1. 一种确定彩色滤色块与黑矩阵的交叠区域的边缘的方法，其中，包括：
    获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域；
    绘制待检测的量测区域的原始灰阶值曲线和差分灰阶值曲线，根据预设置的极值范围，确定差分灰阶值曲线的极值；
    根据待检测的量测区域的彩色滤色块和黑矩阵的灰阶值，结合第一预设规则，获取彩色滤色块和黑矩阵之间的交叠区域的灰阶值；
    根据彩色滤色块、黑矩阵以及交叠区域的灰阶值，结合第二预设规则，构建阈值；
    根据阈值与原始灰阶值曲线的两个交点，获取差分灰阶值曲线上分别与两个交点最接近的两个极值，根据两个极值确定彩色滤色块与黑矩阵的交叠区域的边缘。
  2. 根据权利要求1所述的方法，其中，获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域具体为：
    结合第三预设规则，获取待检测区域，所述待检测区域包括颜色不同的彩色滤色块各一；
    在所述待检测区域中获取各彩色滤色块以及黑矩阵的灰阶值；
    对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的待检测的量测区域。
  3. 根据权利要求2所述的方法，其中，还包括：
    在同一彩膜基板上，确定基准区域，所述基准区域包括颜色不同的彩色滤色块各一，并确定所述基准区域的匹配区域；
    在所述基准区域中，获取颜色不同的彩色滤色块以及黑矩阵的灰阶值；
    对于颜色不同的彩色滤色块，获取包括彩色滤色块、黑矩阵及其交叠区域的基准的量测区域；
    绘制基准的量测区域的原始灰阶值曲线和差分灰阶值曲线，设置极值范围以确定差分灰阶值曲线的极值；
    根据原始灰阶值曲线，确定原始阈值。
  4. 根据权利要求3所述的方法，其中，还包括：调节光强，对应每一光强，获取基准的量测区域中的彩色滤色块、黑矩阵及其交叠区域的灰阶值，并存储生成基准灰阶值表。
  5. 根据权利要求4所述的方法，其中，所述第一预设规则为根据待检测的量测区域的彩色滤色块和黑矩阵的灰阶值，查找基准灰阶值表中相应的彩色滤色块和黑矩阵的灰阶值，并获取基准灰阶值表中对应的交叠区域的灰阶值。
  6. 根据权利要求5所述的方法，其中，所述第二预设规则为根据原始阈值、待检测的量测区域的彩色滤色块和黑矩阵的灰阶值、基准灰阶值表中相应的彩色滤色块、黑矩阵和交叠区域的灰阶值，构建阈值。
  7. 根据权利要求6所述的方法，其中，交叠区域包括灰阶值不同的第一交叠区域和第二交叠区域。
  8. 根据权利要求7所述的方法，其中，所述第二预设规则具体为：
    根据待检测的量测区域中的彩色滤色块和黑矩阵的灰阶值的较小值、基准灰阶值表中相应的彩色滤色块和黑矩阵的灰阶值的较大值、获取到的交叠区域中的第一交叠区域和第二交叠区域的灰阶值的较大值，结合原始阈值，构建阈值。
  9. 根据权利要求3所述的方法，其中，所述第三预设规则为根据匹配区域以及匹配区域在基准区域中的位置，获取待检测区域。
  10. 根据权利要求1所述的方法，其中，所述根据两个极值确定彩色滤色块与黑矩阵的交叠区域的边缘之后，还包括：
    利用高斯拟合曲线法或二项式差值法拟合原始灰阶值曲线，并结合确定出的彩色滤色块和黑矩阵的交叠区域的边缘，得到交叠区域的宽度值。
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