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Proceedings Paper

Study on human vision model of the multi-parameter correction factor
Author(s): Bo-Wen Wu; Yi-Chin Fang
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Paper Abstract

This paper is a study, based on the limitation of human vision characteristic, of image recognition through the take account of correction factor. Those aspects that have been explored focus on human eye modelings, including human vision recognition characteristics and various mathematical modeling verify. By using Modulation Transfer Function (MTF) curve evaluation recognition capability on the studied models, an optimum recognition model most compatible to human eye physiology is summed up.

Paper Details

Date Published: 30 October 2009
PDF: 13 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960E (30 October 2009); doi: 10.1117/12.829954
Show Author Affiliations
Bo-Wen Wu, Yuanpei Univ. (Taiwan)
Yi-Chin Fang, National Kaohsiung First Univ. of Science and Technology (Taiwan)

Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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