Research of Key Technologies of the CACMOIT Model Based on Neural Network

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.