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Proceedings Paper

Extraction and evaluation of mura in liquid crystal displays
Author(s): Yumi Mori; Kohsei Tanahashi; Ryoji Yoshitake; Satoshi Tsuji
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Paper Abstract

The visual performance of liquid crystal displays (LCDs) has been usually inspected and evaluated by sensory analysis at the manufacturing process. One of the most indistinct visual problems is low-contrast non-uniform brightness region called muras. The accurate and consistent detection of the muras is extremely difficult because there are various shapes and sizes of muras and the inspection results tend to depend on the operators. We conducted a study on the quantitative evaluation of muras based on visual analysis and human perception. We converted the front of screen (FOS) images from the LCDs into distributions of luminance information, and the mura regions were distinguished from the background area using our novel algorithm. This approach also led to a weighting function for the categories of muras that appear in the panels. Our identification method can also distinguish between the muras caused by flaws in the LCD cells and the intentionally designed non- uniform luminance distribution of the backlight.

Paper Details

Date Published: 13 November 2001
PDF: 8 pages
Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); doi: 10.1117/12.449348
Show Author Affiliations
Yumi Mori, IBM Japan, Ltd. (Japan)
Kohsei Tanahashi, IBM Japan, Ltd. (Japan)
Ryoji Yoshitake, IBM Japan, Ltd. (Japan)
Satoshi Tsuji, IBM Japan, Ltd. (Japan)

Published in SPIE Proceedings Vol. 4471:
Algorithms and Systems for Optical Information Processing V
Bahram Javidi; Demetri Psaltis, Editor(s)

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