234 ニューラルネットワークによる色順応機能の獲得

DOI Web Site 参考文献2件

書誌事項

タイトル別名
  • Acquisition of Chromatic Adaption Using Neural Networks
  • ニューラル ネットワーク ニヨル ショク ジュンノウ キノウ ノ カクトク

この論文をさがす

抄録

Human color perception is so complicated that a conventional image processing system is unable to recognize color as well as we do. If such a complicated artificial mechanism for color perception is technically realized, it is applied to intelligent robots, “Kansei” engineering for design, and various systems which need human recognition for color.<BR>This paper presents an artificial system for chromatic adaption which is a most important function for human color perception. The system is constructed using a neural network in which neurons are arbitrary connected. The network structure is based on a color perception model made from its physiological and psychological knowledge. After learning, the network outputs show almost the same response as we do even if a light source changes its color temperature. Furthermore, the network after learning proves “Helson-Judd” effect that under a red light, light gray looks reddish while dark gray looks slightly blue-green.

収録刊行物

参考文献 (2)*注記

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ