个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:德国柏林工业大学
学位:博士
所在单位:机械工程学院
办公地点:知方楼9019
联系方式:19969882815
电子邮箱:hou@dlut.edu.cn
Research of key technologies of the CACMOIT model based on neural network
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论文类型:会议论文
发表时间:2009-10-10
收录刊物:EI、Scopus
卷号:1
页面范围:400-403
摘要:Munsell color model is a perfect expression system that can match well with the thinking law of designers. Implementation of Munsell color model in computer can greatly improve the existing color aid systems. The key techniques for Munsell visualization are the accurate conversion from HVC model to RGB model. Using the neural network technologies, we analyzed the data conversion process for dealing with imprecision and discontinuities properties. On the foundation of analyzing the traditional Munsell model, a novel color model, Computer Aided Color Model Orienting to Imagery Thinking (CACMOIT), is introduced in this paper. Finally, it is further proved that neural network techniques can realize the data conversion process more accurately and continuously. ? 2009 IEEE.