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Automatic Detection of Region-Mura Defect in TFT-LCD

Jae Yeong LEE, Suk In YOO

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Summary :

Visual defects, called mura in the field, sometimes occur during the manufacturing of the flat panel liquid crystal displays. In this paper we propose an automatic inspection method that reliably detects and quantifies TFT-LCD region-mura defects. The method consists of two phases. In the first phase we segment candidate region-muras from TFT-LCD panel images using the modified regression diagnostics and Niblack's thresholding. In the second phase, based on the human eye's sensitivity to mura, we quantify mura level for each candidate, which is used to identify real muras by grading them as pass or fail. Performance of the proposed method is evaluated on real TFT-LCD panel samples.

Publication
IEICE TRANSACTIONS on Information Vol.E87-D No.10 pp.2371-2378
Publication Date
2004/10/01
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Image Processing and Video Processing

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