Paper
30 October 2009 Study on human vision model of the multi-parameter correction factor
Bo-Wen Wu, Yi-Chin Fang
Author Affiliations +
Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960E (2009) https://doi.org/10.1117/12.829954
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo-Wen Wu and Yi-Chin Fang "Study on human vision model of the multi-parameter correction factor", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960E (30 October 2009); https://doi.org/10.1117/12.829954
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Visual process modeling

Human vision and color perception

Eye

Modulation transfer functions

Eye models

Mathematical modeling

Retina

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