引言
引言
传统的斑痕检测方法只考虑了斑痕的几种特征,如对比度和目标尺寸的大小。 但是TFT-LCD的斑痕缺陷具有很高的复杂性和模糊性,缺陷的估计过程非常 复杂,同时受很多客观因素的影响,如对比度,大小,位置,轮廓,形状等。 因此很难建立一个精确的数学模型。本文提出了一种新的模型,同时考虑了 斑痕的多种特征,实验表明,该模型与人的感觉具有一致性。
LOGO
摘要
Abstract: To imp rove the identification for visual defect of TFT-LCD, a new machine vision system is proposed, which is superior to human eye inspection. The system respectively emp loys a CCD camera to cap ture the image of TFT2LCD panel and an image p rocessing system to identify potential visual defects. Image preproessing, such as average filtering and geometric correction, was performed on the cap tured image, and then a candidate area of defectwas segmented from the background. Feature information extracted from the area of interest entered a fuzzy rule-based classifier that simulated the defect inspection of TFT-LCD undertaken by experienced technicians. Experiment results show that the machine vision system can obtain fast, objective and accurate inspection compared with subjective and inaccurate human eye inspection. Key words: TFT-LCD; machine vision; image processing; fuzzy rule-based classifier