Quantitative evaluation of "mura" in liquid crystal displays
Quantitative evaluation of "mura" in liquid crystal displays
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DOI：
10.1117/1.1768942
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发表时间：
2004-11-01
影响因子：
1.3
通讯作者：
Tsuji, S
中科院分区：
文献类型：
--
作者：
Mori, Y;Tanahashi, K;Tsuji, S
液晶显示器(LCD)的视觉性能通常是在制造过程中通过目测来评估的。最难识别的视觉问题之一是被称为Mura的低对比度和亮度不均匀的区域。穆拉的准确和一致的检测是极其困难的，因为穆拉的形状和大小各不相同，而且检查结果往往取决于操作员。我们对基于视觉分析的MURA定量评估进行了研究，旨在明确检测方法，创建一个自动化的MURA检测流程。我们开发了一种基于商用电荷耦合器件摄像头和带有图像处理板的个人计算机系统的算法和硬件系统。该系统能够成功地识别和评价村落。该算法是在视觉分析和人类感知研究的基础上发展而来的。我们将LCD的正面图像转换为亮度信息的分布，并使用新的算法将MURA区域与背景区域区分开来。我们的识别方法还可以区分由LCD单元缺陷造成的MURA和故意设计的背光亮度分布不均匀。(C)2004年，光学仪器工程师学会。
The visual performance of liquid crystal displays (LCDs) has usually been evaluated by visual inspection during the manufacturing process. One of the visual problems hardest to recognize are regions of low contrast and nonuniform brightness called mura. The accurate and consistent detection of the mura is extremely difficult because there are various shapes and sizes of mura and the inspection results tend to depend on the operators. We conducted a study on the quantitative evaluation of mura based on visual analysis, intending to clarify the detection method and create an automated mura inspection process. We developed an algorithm and a hardware system based on a commercially available charge-coupled-device camera and a personal computer system with an image processor board. This system can successfully identify and evaluate mura. The algorithm was developed from research on visual analysis and human perception. We converted the front-of-screen images from the LCDs into distributions of luminance information, and the mura regions were distinguished from the background area using our novel algorithm. Our identification method can also distinguish between the muras caused by flaws in the LCD cells and the intentionally designed nonuniform luminance distribution of the backlight. (C) 2004 Society of Photo-Optical Instrumentation Engineers.