Abstract
A study was conducted on the quantitative evaluation of mura based on visual analysis, intending to clarify the detection method and create an automated mura inspection process. As such, an algorithm to extract was developed and evaluated mura by using a hardware system based on a commercially available CCD camera and a PC with an image processor board. This system can successfully identify and evaluate mura. This paper describes the research in human perception and the approach adapting the intrinsic rules of sensory analysis to the quantitative evaluation of mura.
| Original language | English |
|---|---|
| Pages (from-to) | 283-290 |
| Number of pages | 8 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4789 |
| DOIs | |
| Publication status | Published - 2002 Dec 1 |
| Event | Algorithms and Systems for Optical Information Processing VI - Seattle, WA, United States Duration: 2002 Jul 9 → 2002 Jul 10 |
Keywords
- Human perception
- Liquid crystal displays
- Mura
- Quantitative evaluation
- Sensory analysis
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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Mori, Y., Yoshitake, R., Tamura, T., Moriguchi, K., Tanahashi, K., & Tsuji, S. (2002). Quantitative evaluation of luminance non-uniformity in liquid crystal displays based on sensory analysis. Proceedings of SPIE - The International Society for Optical Engineering, 4789, 283-290. https://doi.org/10.1117/12.453846