Defect inspection of patterned thin film transistor-liquid crystal display panels using a fast sub-image-based singular value decomposition

Thin film transistor-liquid crystal displays (TFT-LCDs) have become increasingly attractive and popular as display devices. A machine vision approach is proposed for automatic inspection of microdefects in patterned TFT-LCD surfaces. The proposed method is based on a global image reconstruction sche...

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Bibliographic Details
Published in:	International journal of production research 2004-10, Vol.42 (20), p.4331-4351
Main Authors:	Lu, C.-J., Tsai, D.-M.
Format:	Article
Language:	eng
Subjects:	Defects LCDs Liquid crystal displays Operations research Production management Studies Vision systems
Online Access:	Get full text
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Summary:	Thin film transistor-liquid crystal displays (TFT-LCDs) have become increasingly attractive and popular as display devices. A machine vision approach is proposed for automatic inspection of microdefects in patterned TFT-LCD surfaces. The proposed method is based on a global image reconstruction scheme using singular value decomposition. A partition procedure that separates the input image into non-overlapping sub-images is used to reduce the computation time of singular value decomposition. Taking the pixel image as a matrix, the singular values on the decomposed diagonal matrix represent different structural details of the TFT-LCD image. The proposed method first selects the dominant singular values that represent the repetitive orthogonal-line texture of the TFT-LCD surface. It then reconstructs the matrix by excluding the dominant singular values. The resulting image can effectively remove the background texture and preserves anomalies distinctly. The experiments have evaluated a variety of TFT-LCD microdefects including pinholes, scratches, particles and fingerprints at different image resolutions. The experimental results reveal that the proposed method is effective and efficient for microdefect inspection of TFT-LCD panels.
ISSN:	0020-7543 1366-588X