文章基本信息

标题：ニューラルネットワークによる照明光の変化を考慮したカテゴリカル色知覚モデル
本地全文：下载
作者：矢田紀子 ; 長尾智晴 ; 内川惠二等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2005
卷号：59
期号：12
页码：1809-1815
DOI：10.3169/itej.59.1809
出版社：The Institute of Image Information and Television Engineers
摘要：We developed a model that can operate similarly to human categorical color perception. The color of an object is not exclusively determined by the reflection spectrum from the surface of the object but is greatly affected by the ambient environmental conditions and depends upon color constancy, The mechanism of color constancy, however, is not explained in detail so acquiring the cognition of the categorical color name of objects under different illuminations is difficult. To that end, the relationship between the chromaticity and the categorical color perception of colored chips under different illuminations is the product of a categorical color-naming experiment was learned by using a neural network. The results showed that the obtained neural network has similar characteristics to those of human vision system.
关键词：カテゴリカル色知覚;色恒常性;ニューラルネットワーク