COLOR RECOGNITION OF IMAGES USING A CATEGORICAL COLOR PERCEPTION MODEL(INTERNATIONAL Workshop on Advanced Image Technology 2008)
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概要
- 論文の詳細を見る
The purpose of this study is to get the model that can operate similarly to human categorical color perception and color constancy. It is related to a categorical color perception system for automatically judging a categorical color. And it is a technology for correctly judging under various environments. It is important for security camera in particular. To obtain the model of categorical color perception and color constancy, the relationship, between the chromaticity and the categorical color perception of colored chips under different illuminations, is trained by using an artificial neural network. The categorical color perception is the product of a categorical color naming experiment. As a result, we propose a categorical color perception system which can correctly judge a categorical color under various environments. In addition, the trained network determined a color-name of objects from images. Experimental results show that the obtained neural network had the color recognition similar to human vision system.
- 社団法人電子情報通信学会の論文
- 2007-12-31
著者
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Nagao Tomoharu
Graduate School Of Environment And Information Sciences Yokohama National University
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Nagao Tomoharu
Imaging Science And Engineering Laboratory Tokyo Institute Of Technology
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Uchikawa K
Tokyo Inst. Of Technol. Yokohama Jpn
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Uchikawa Keiji
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Nagao T
Graduate School Of Environment And Information Sciences Yokohama National University
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Yata Noriko
Graduate School of Environment and Information Sciences Yokohama National University
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Nagao Tomoharu
Graduate School Of Environment And Information Science Yokohama National University
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