Human vision-based detection of nonuniform brightness on liquid crystal display panels

Jee Hong Kim

doi:10.1117/1.2952589

1 July 2008 Human vision-based detection of nonuniform brightness on liquid crystal display panels

Jee Hong Kim

Author Affiliations +

Journal of Electronic Imaging, Vol. 17, Issue 3, 033001 (July 2008). https://doi.org/10.1117/1.2952589

Abstract

We propose a method using a machine vision technique to detect the defects caused by spatially non-uniform brightness on LCD panels. The detection method is based on human vision, so subjective experiments were conducted to investigate the correlation between the parameters related to non-uniformity and the degree of easy observability. The visibility of the defects depends mainly on the spatial gradient of luminance variation. The proposed method uses the spatial gradient calculated using extracted contours to detect the defects caused by non-uniform brightness. The detection method is composed of four parts: the extraction of contours, the calculation of spatial gradient, the decision about defects, and the display of defects. Finally, the spatial gradient has a near-logarithmic relationship to the observability in judging the degree of how easily the detected defects are observed by the human inspector.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jee Hong Kim "Human vision-based detection of nonuniform brightness on liquid crystal display panels," Journal of Electronic Imaging 17(3), 033001 (1 July 2008). https://doi.org/10.1117/1.2952589

Published: 1 July 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available