Realization of Color Sensibility Using Neural Networks

使用神经网络实现色彩敏感性

• 批准号: 05650400
• 负责人: KIMURA Ichiro
• 金额: $ 1.41万
• 依托单位: Osaka Electro-Communication University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (C)
• 财政年份: 1993
• 资助国家: 日本
• 起止时间: 1993 至 1994
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05650400/
• 关键词: Neural network; Sensibility; Color; Hue; Tone

Recently, "Human Sensibility" is becoming increasingly important in various fields, such as design, human interface, computer graphics, computer music, and playing machine. There are a lot of factors which influence human sensibility. Color, in particular, strongly works on our mind and rouses various images.The purpose of this work is to realize a human sensibility system for colors which extracts some images such as "pleasant-unpleasant" and "warm-cool" from R (red) , G (green) , and B (blue) values obtained with a TV camera as color information. The system is constructed using a neural network in which neurons are arbitrary connected and consists of two parts. One of them is a sub-network for color vision which is constructed based on its physiological and psychological knowledge. The other is another sub-network for sensibility itself. The neural network learns a human function for color sensibility from teaching data obtained by a sensory test. The outputs of the network after learning are similar to color images that we have in our mind.The following results are proved by the analysis of the hidden units after learning.1.The sub-network for color vision shows similar responses to those of a conventional color vision model.2.The hidden units of the sub-network for sensibility responds selectively to "Hue" and "Tone". The output units consolidate those selective responses and consequently the network realizes the sensibility for colors.

近年来，“人情味”在设计、人机界面、计算机图形学、计算机音乐、游戏机等各个领域都变得越来越重要。影响人类情感的因素有很多。特别是色彩，强烈地影响着我们的头脑，唤醒着各种各样的图像。本工作的目的是实现一个人类对颜色的感知系统，从电视摄像机获得的R(红)、G(绿)和B(蓝)值中提取一些图像作为颜色信息，如“令人愉快的-不愉快的”和“暖冷的”。该系统由神经元任意连接的神经网络构成，由两部分组成。其中一个是颜色视觉的子网络，它是基于颜色视觉的生理和心理知识构建的。另一个是情感本身的另一个子网络。神经网络从感官测试获得的教学数据中学习人类对颜色敏感性的功能。学习后的网络输出与我们头脑中的彩色图像相似。通过对学习后的隐含单元的分析，得到了以下结果：1.颜色视觉的子网络表现出与传统颜色视觉模型相似的反应；2.敏感性子网络的隐含单元对“色调”和“色调”有选择性的反应。输出单元合并这些选择性响应，因此网络实现了对颜色的敏感性。

项目成果

武井,努: "二色配色に関する感性システムの開発" 第32回計測自動制御学会学術講演会予稿集. 395-396 (1993)

Takei, Tsutomu：“双色配色方案的感官系统的开发”第 32 届仪器与控制工程师学会学术会议记录 395-396 (1993)。

木村一郎: "ニューラルネットワークによる色順応実現" 計測自動制御学会論文集. 29. 854-856 (1993)

Ichiro Kimura：“使用神经网络实现颜色适应”仪器与控制工程师协会会议记录 29. 854-856 (1993)。

武井,努: "ニューラルネットワークを用いた色感性システムの実現" 第31回計測自動制御学会学術講演会予稿集. 741-742 (1994)

Takei, Tsutomu：“使用神经网络实现颜色敏感系统”第 31 届仪器与控制工程师学会学术会议论文集 741-742 (1994)。

木村,一郎: "ニューラルネットワークによる色順応実現" 計測自動制御学会論文集. 29. 854-856 (1993)

Kimura, Ichiro：“使用神经网络实现颜色适应”仪器与控制工程师协会会议记录 29. 854-856 (1993)。

Ichiro Kimura: "Realization of Chromatic Adaptation Using Neural Networks" Transactions of the Society of Instrument and Control Engineers. 29.No7. 854-856 (1993)

Ichiro Kimura：“使用神经网络实现色彩适应”仪器与控制工程师学会会刊。