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http://dx.doi.org/10.9717/kmms.2012.15.2.204

Segmentation of Defective Regions based on Logical Discernment and Multiple Windows for Inspection of TFT-LCD Panels  

Chung, Gun-Hee (경북대학교 전자전기컴퓨터공학부)
Chung, Chang-Do (경북대학교 전자전기컴퓨터학부)
Yun, Byung-Ju (경북대학교 전자전기컴퓨터학부)
Lee, Joon-Jae (계명대학교 게임모바일콘텐츠학과)
Park, Kil-Houm (경북대학교 전자전기공학부)
Publication Information
Journal of Korea Multimedia Society / v.15, no.2, 2012 , pp. 204-214 More about this Journal
Abstract
This paper proposes an image segmentation for a vision-based automated defect inspection system on surface image of TFT-LCD(Thin Film Transistor Liquid Crystal Display) panels. TFT-LCD images have non-uniform brightness, which is hard to finding defective regions. Although there are several methods or proposed algorithms, it is difficult to divide the defect with high reliability because of non-uniform properties in the image. Kamel and Zhao disclosed a method which based on logical stage algorithm for segmentation of graphics and character. This method is a one of the local segmentation method that has a advantage. It is that characters and graphics are well segmented in an image which has non-uniform property. As TFT-LCD panel image has a same property, so this paper proposes new algorithm to segment regions of defects based on Kamel and Zhao's algorithm. Our algorithm has an advantage that there are a few ghost objects around the defects. We had experiments to prove performance in real TFT-LCD panel images, and comparing with the FFT(Fast Fourier Transform) method which is used a bandpass filter.
Keywords
TFT-LCD; Segmentation Defects; Logical Level Technique; Mask Based Technique; Vision-based Automated Defect Inspection System;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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