CN1900700B - Quantitative method for adjustable defect grading - Google Patents
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Abstract
Description
技术领域technical field
本发明为一种缺陷定级的定量方法,尤指一种可调式测试面板缺陷定级的定量方法。The invention relates to a quantitative method for grading defects, in particular to a quantitative method for grading defects of an adjustable test panel.
背景技术Background technique
在显示器制造过中度量与检测扮演重要的角色,现今各级制造厂商欲利用自动检测系统取代或者加强传统凭视觉的检测方法。已有些厂商开发出或者正在开发一种标准(测试方法及评估准则),主要针对自动检测系统中的亮度不平均性缺陷,称之为平板显示器的“Mura缺陷”检测法。Mura缺陷检测是针对显示器组件,子系统以及各种关于显示器技术的一项重要议题。显示系统组件诸如微型显示器,扩散膜,偏光板,背光模块,玻璃基板以及增亮膜也必须通过检测来确定那些在最终的显示系统中造成Mura异化的缺陷。Measurement and inspection play an important role in the display manufacturing process. Nowadays, manufacturers at all levels want to use automatic inspection systems to replace or strengthen traditional visual inspection methods. Some manufacturers have developed or are developing a standard (test method and evaluation criterion), which is mainly aimed at the uneven brightness defect in the automatic detection system, which is called the "Mura defect" detection method of the flat panel display. Mura defect detection is an important topic for display components, subsystems, and various display technologies. Display system components such as microdisplays, diffusers, polarizers, backlight modules, glass substrates, and brightness enhancement films must also be inspected to identify defects that cause mura dissimilation in the final display system.
根据视讯电子标准协会(VESA)的平板显示器测量标准将Mura缺陷定义为“当显示屏以一个恒定的灰度值显示时,可看到显示器像素区域的不完美。Mura缺陷是以低对比度、亮度不均的区域方式出现,一般比单个像素要大。”同样的,在国际半导体设备和材料协会(SEMI)所定义Mura缺陷是根据亮度不均性。According to the flat panel display measurement standard of the Video Electronics Standards Association (VESA), the mura defect is defined as "when the display is displayed at a constant gray value, the imperfection of the display pixel area can be seen. The mura defect is characterized by low contrast, brightness Non-uniform areas appear in an area that is generally larger than a single pixel." Similarly, the Mura defect is defined by the Semiconductor Equipment and Materials International (SEMI) in terms of brightness non-uniformity.
在现有专利文献中,如美国专利号第5754678“基板检测装置及方法(Substrate inspection apparatus and method)”揭露一种自动化基板检测装置及方法,请参考图1所示为基板检测方法流程图,包括捉取于一影像侦测装置的一基板定位(S100),限制由于背景调整的强度变动(S102),比较由四个像素所组成的第一像素内的第一个像素及由四个像素所组成的第二个像素内的第一个像素(S104),比较由四个像素所组成的第一像素内的第二个像素及由四个像素所组成的第二个像素内的第二个像素(S106),决定检测基板上的子像素(S108)。In existing patent documents, such as US Patent No. 5754678 "Substrate inspection apparatus and method (Substrate inspection apparatus and method)" discloses an automated substrate inspection apparatus and method, please refer to Figure 1 for the flow chart of the substrate inspection method, including capturing a substrate location in an image detection device (S100), limiting intensity variations due to background adjustments (S102), comparing a first pixel within a first pixel consisting of four pixels and a first pixel consisting of four pixels The first pixel in the second pixel composed (S104), compare the second pixel in the first pixel composed of four pixels with the second pixel in the second pixel composed of four pixels pixels (S106), and determine the sub-pixels on the detection substrate (S108).
又,如美国专利号第5917935“云纹(Mura)检测装置及方法(Muradetection apparatus and method)”揭露一种自动化检测缺陷的方法及装置,该方法是针对在基板上检测云纹型式及检测装置,其中该基板包括液晶平面显示器、主动矩阵显示器以及其它类似的显示器。请参考图2所示为基板云纹检测方法流程图,是包括取得一基板的原始影像(S200),从原始影像中产生多个子取样影像(S202),执行每一影像的缺陷特定过滤(S204),以每一影像的门限建立每一个点(BLOB)(S206),藉由每一点分析决定云纹(mura)缺陷(S208),特征化云纹的缺陷(S210),选择性后处理去决定线云纹缺陷(S212)。Also, as U.S. Patent No. 5917935 "Mura detection apparatus and method (Mura detection apparatus and method)" discloses a method and device for automatic defect detection, the method is aimed at detecting moiré patterns and detection devices on substrates , wherein the substrate includes liquid crystal flat panel displays, active matrix displays, and other similar displays. Please refer to FIG. 2, which is a flow chart of the substrate moiré detection method, which includes obtaining an original image of a substrate (S200), generating a plurality of sub-sampled images from the original image (S202), and performing defect-specific filtering of each image (S204). ), establish each point (BLOB) (S206) with the threshold of each image, determine the defect of moiré (mura) by analyzing each point (S208), characterize the defect of moiré (S210), and selectively post-process to Line moiré defects are determined (S212).
然而,各厂商在云纹检测上所遭遇的困难:(1)难以定性;(2)难以定量;(3)云纹图形出现的重复性低;(4)云纹检测与角度、背景图形有相当大的关系;(5)不同客户要求不同,甚至同一客户不同时间要求不一的问题。However, the difficulties encountered by various manufacturers in moiré detection: (1) Difficult to be qualitative; (2) Difficult to quantify; (3) The repeatability of moiré patterns is low; (5) Different customers have different requirements, even the same customer has different requirements at different times.
发明内容Contents of the invention
为解决上述问题以及现有技术忽略提升现存以人眼检测效率的可能性及优点,本发明提出一种可调式缺陷定级的定量方法以架构在人眼视觉模型的人因基础,并辅以一可调式装置以达到量化云纹的目的。In order to solve the above-mentioned problems and the prior art ignores the possibility and advantages of improving the existing human eye detection efficiency, the present invention proposes an adjustable defect grading quantitative method based on the human factor of the human eye visual model, supplemented by An adjustable device to achieve the purpose of quantifying moiré.
人眼侦测物体的阀限因物体大小、物体与背景亮度对比及背景亮度有所变化。视觉研究领域上常用视觉恰辨差(Just Noticeable Difference)来定义侦测阀限。The human eye's threshold for detecting objects varies depending on the size of the object, the brightness contrast between the object and the background, and the brightness of the background. In the field of vision research, Just Noticeable Difference is often used to define the detection threshold.
为了达成上述量化云纹目的,本发明提供一种可调式缺陷定级的定量方法,包括取得至少一测试面板的前置作业;检测至少一测试面板的至少一缺陷程度;将所述的缺陷程度经由一调整转换动作以产生至少一辨识(Opticaldensity)数值;转换所述的辨识数值为至少一视觉恰辨差(Just NoticeableDifference);及汇集所述的视觉恰辨差以制作至少一可调式缺陷定级的定量数值。In order to achieve the above-mentioned purpose of quantifying moiré, the present invention provides a quantitative method for grading adjustable defects, including obtaining at least one test panel pre-work; detecting at least one defect degree of at least one test panel; Generate at least one optical density value through an adjustment conversion action; convert the optical density value into at least one just noticeable difference (Just Noticeable Difference); and collect the just noticeable difference to make at least one adjustable defect definition Quantitative value of the level.
附图说明Description of drawings
图1为现有技术的基板检测方法流程图;FIG. 1 is a flow chart of a substrate detection method in the prior art;
图2为现有技术的基板云纹检测方法流程图;Fig. 2 is the flow chart of the prior art substrate moiré detection method;
图3为本发明的可调式缺陷定级的定量方法流程图;及Fig. 3 is the flow chart of the quantitative method of the adjustable defect grading of the present invention; and
图4为本发明的可调式缺陷定级的定量数值方法流程图。Fig. 4 is a flow chart of the quantitative numerical method of adjustable defect grading in the present invention.
具体实施方式Detailed ways
为了进一步说明本发明为达成既定目的所采取的技术、方法及功效,请参阅以下有关本发明的详细说明与附图,相信本发明的目的、特征与特点,当可由此得一深入且具体的了解,然而所附图式仅提供参考与说明用,并非用来对本发明加以限制。In order to further illustrate the technology, method and effect that the present invention takes to achieve the intended purpose, please refer to the following detailed description and accompanying drawings of the present invention. It is believed that the purpose, characteristics and characteristics of the present invention can be obtained from this in-depth and specific It is understood that the accompanying drawings are only for reference and illustration, and are not intended to limit the present invention.
本发明以架构在人眼视觉模型的人因基础,并辅以一可调式装置以达到量化云纹的目的。The present invention is based on the human factor based on the visual model of the human eye, and is supplemented with an adjustable device to achieve the purpose of quantifying the moiré.
请参考图3,为本发明的可调式缺陷定级的定量方法流程图,包括取得至少一测试面板的前置作业(S300),其中所述的测试面板为液晶面板、阴极射线管电视面板、电浆面板或其它类型的测试面板。检测至少一测试面板的至少一缺陷程度(S302),将所述的缺陷程度经由一调整转换动作以产生至少一辨识数值(S304),其中该调整转换动作是由一可调式装置所达成的,该调整转换动作包含调整穿透时间或穿透强度,例如LCD眼镜具有可改变穿透率的特性,所以可作为该可调式装置的一实施例,又该可调式装置亦可为机械式、空间式或时间式,透过该可调式装置可将整个亮度(人眼可见波段的波长)降低,其中所述的辨识数值为光衰减率,其光衰减率的数学式为D=log1/T,D为光衰减率(Optical Density),而T为光穿透率。Please refer to FIG. 3 , which is a flow chart of the quantitative method for the adjustable defect grading of the present invention, including the pre-operation (S300) of obtaining at least one test panel, wherein the test panel is a liquid crystal panel, a cathode ray tube TV panel, Plasma panels or other types of test panels. Detecting at least one defect degree of at least one test panel (S302), and generating at least one identification value through an adjustment conversion action on the defect degree (S304), wherein the adjustment conversion action is achieved by an adjustable device, The adjustment conversion action includes adjusting the penetration time or penetration intensity. For example, LCD glasses have the characteristic of changing the penetration rate, so they can be used as an embodiment of the adjustable device, and the adjustable device can also be mechanical, spatial Formula or time formula, the entire brightness (wavelength visible to human eyes) can be reduced through the adjustable device, wherein the identification value is the light attenuation rate, and the mathematical formula of the light attenuation rate is D=log1/T, D is the optical attenuation rate (Optical Density), and T is the light transmittance.
转换所述的辨识数值为至少一视觉恰辨差(S306),其所述的视觉恰辨差为辨识模糊不清状态时,依观看者能够看到某一事物与不能看到同事物所换算出的比率,来定义出一切换门阀值(thresholds),汇集所述的视觉恰辨差以制作至少一可调式缺陷定级的定量数值(S308)。Converting the recognition value into at least one visual difference (S306), the visual difference is converted according to whether the viewer can see a certain object or cannot see the same object when the recognition is blurred. The obtained ratios are used to define a switching threshold (thresholds), and the visual discrepancies are collected to produce at least one quantitative value for adjustable defect grading (S308).
光衰减率与视觉恰辨差转换的模型可表达如下的公式:The conversion model of light attenuation rate and visual difference can be expressed as the following formula:
δ(JND)=k*Dn δ(JND)=k* Dn
上述的公式中的k,n为调变参数,D为光衰减率,其公式的实质意义为利用调变光衰减率可得到视觉恰辨差(JND)改变量,以达到量化缺陷的目标。In the above formula, k and n are the modulation parameters, and D is the light attenuation rate. The essence of the formula is that the JND change can be obtained by modulating the light attenuation rate, so as to achieve the goal of quantifying defects.
请参考图4为本发明的可调式缺陷定级的定量数值方法流程图,包括取得至少一测试面板的前置作业(S400),其中所述的测试面板为液晶面板、阴极射线管电视面板、电浆面板或其它类型的测试面板。检测至少一测试面板的至少一缺陷程度(S402),将所述的缺陷程度经由一调整转换动作以产生至少一辨识数值(S404),其中该调整转换动作是由一可调式装置所达成的,该调整转换动作包含调整穿透时间或穿透强度,例如LCD眼镜具有可改变穿透率的特性,所以可作为该可调式装置的一实施例,又该可调式装置亦可为机械式、空间式或时间式,透过该可调式装置可将整个亮度(人眼可见波段的波长)降低,其中所述的辨识数值为光衰减率。降低该调整转换动作的一穿透强度(S406),藉由该穿透强度而获得至少一可调式缺陷定级的定量数值(S408)。Please refer to FIG. 4 for a flow chart of the quantitative numerical method for adjustable defect grading of the present invention, including the pre-operation (S400) of obtaining at least one test panel, wherein the test panel is a liquid crystal panel, a cathode ray tube TV panel, Plasma panels or other types of test panels. Detecting at least one defect level of at least one test panel (S402), and generating at least one identification value by subjecting the defect level to an adjustment conversion action (S404), wherein the adjustment conversion action is achieved by an adjustable device, The adjustment conversion action includes adjusting the penetration time or penetration intensity. For example, LCD glasses have the characteristic of changing the penetration rate, so they can be used as an embodiment of the adjustable device, and the adjustable device can also be mechanical, spatial Formula or time formula, the entire brightness (wavelength visible to human eyes) can be reduced through the adjustable device, wherein the identified value is the light attenuation rate. Decreasing a penetration strength of the adjustment conversion action (S406), and obtaining at least one quantitative value of adjustable defect grading by the penetration strength (S408).
本发明可解决现有技术的缺点,并且将本发明与现有技术作比较如下:The present invention can solve the shortcoming of prior art, and compare the present invention with prior art as follows:
1.可利用本发明将辨识数值与视觉恰辨差进行量化连结;1. The present invention can be used to quantitatively link the recognition value and the visual difference;
2.可利用本发明将辨识数值与面板等级间关系进行客观量化,而不会随时间、客户而移转;2. The present invention can be used to objectively quantify the relationship between the identification value and the panel level, without shifting with time or customers;
3.本发明已将不同亮度背景考量进来;3. The present invention has taken different brightness backgrounds into consideration;
4.在判断云纹(mura)有无明显边界时,本发明可将两类型的云纹同时进行判定;4. When judging whether there is a clear boundary in the moire (mura), the present invention can judge the two types of moire simultaneously;
5.对于云纹大小并无限制;5. There is no limit to the size of the moiré;
6.本发明在判别云纹的时间较现有技术快。6. The present invention is faster than the prior art in discriminating moiré.
本发明确能藉上述所揭露的技术,提供一种迥然不同于现有的设计,堪能提高整体的使用价值。The present invention can clearly provide a design that is completely different from the existing ones by means of the technology disclosed above, which can improve the overall use value.
上述所揭露的图式、说明,仅为本发明的实施例而已,凡精于此项技艺者当可依据上述的说明作其它种种的改良,而这些改变仍属于本发明的发明精神及以下界定的专利范围中。The drawings and descriptions disclosed above are only embodiments of the present invention. Those who are skilled in this art can make other various improvements based on the above descriptions, and these changes still belong to the spirit of the present invention and the following definitions within the scope of the patent.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1259216A (en) * | 1997-04-04 | 2000-07-05 | 萨尔诺夫公司 | Method and apparatus for assessing the visibility of differences between two signal sequences |
| US6154561A (en) * | 1997-04-07 | 2000-11-28 | Photon Dynamics, Inc. | Method and apparatus for detecting Mura defects |
| CN1460967A (en) * | 2002-05-18 | 2003-12-10 | Lg.菲利浦Lcd株式会社 | Image quality analysis method and system for display device |
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| CN1259216A (en) * | 1997-04-04 | 2000-07-05 | 萨尔诺夫公司 | Method and apparatus for assessing the visibility of differences between two signal sequences |
| US6154561A (en) * | 1997-04-07 | 2000-11-28 | Photon Dynamics, Inc. | Method and apparatus for detecting Mura defects |
| CN1460967A (en) * | 2002-05-18 | 2003-12-10 | Lg.菲利浦Lcd株式会社 | Image quality analysis method and system for display device |
Non-Patent Citations (1)
| Title |
|---|
| Jae Y. LEE.Automatic Detection of Region-Mura Defect in TFT-LCD.IEICE TRANS. INF.&SYST.E87-D 10.2004,E87-D(10),1-8. * |
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