Evaluation of line-type thin-film transistor liquid-crystal display defects based on human visual perception

We propose an evaluation system that assigns each line-type thin-film transistor liquid-crystal display defect a corresponding level that objectively agrees with human visual perception. By “objective,” we mean that the evaluation corresponds, on average, with the assessment of a group of inspectors. The basic idea is to use the human visual perception to evaluate defects. Crucial features of defects are selected to represent the human visual perception for the line-type defect. In the process, we define the “just-noticeable difference surface” (JND) and evaluate the level of defect as the distance from a feature point consisting of selected features of the JND.

[1]  Masashi Baba,et al.  Photometric calibration of zoom lens systems , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[2]  Glenn Healey,et al.  Radiometric CCD camera calibration and noise estimation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  R. Orglmeister,et al.  A new image segmentation method based on human brightness perception and foveal adaptation , 2000, IEEE Signal Processing Letters.

[4]  William K. Pratt,et al.  Automatic blemish detection in liquid crystal flat panel displays , 1998, Electronic Imaging.

[5]  Suk I. Yoo,et al.  Area-mura detection in TFT-LCD panel , 2004, IS&T/SPIE Electronic Imaging.

[6]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[7]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[8]  G. Seber,et al.  Nonlinear Regression: Seber/Nonlinear Regression , 2005 .

[9]  Wonpil Yu,et al.  Practical anti-vignetting methods for digital cameras , 2004, IEEE Trans. Consumer Electron..

[10]  Jong Hwan Oh,et al.  Line Defect Detection in TFT-LCD Using Directional Filter Bank and Adaptive Multilevel Thresholding , 2004 .

[11]  Shree K. Nayar,et al.  Modeling the space of camera response functions , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Shree K. Nayar,et al.  Radiometric self calibration , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[13]  Kil-Houm Park,et al.  Inspection of defect on LCD panel using polynomial approximation , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[14]  Azeddine Beghdadi,et al.  Edge detection using Holladay's principle , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[15]  Satoshi Tsuji,et al.  Quantitative evaluation of visual performance of liquid crystal displays , 2000, SPIE Optics + Photonics.

[16]  Suk In Yoo,et al.  Image Restoration for Quantifying TFT-LCD Defect Levels , 2008, IEICE Trans. Inf. Syst..