摘要
针对传统的CIE色度学颜色精确识别与人的颜色模糊感觉的矛盾,提出了一种基于模糊神经网络进行颜色识别的方法。该方法利用传统的色度学中的颜色三刺激的坐标值,结合模糊神经网络的聚类、无限逼近、泛化、学习等特性的优点,从而增加了适合于人的感觉的颜色识别的效果。
Aimed at the contradiction of color recognition between the CIE traditional precise description and the human fuzzy description,a color recognition method based on fuzzy neural network is proposed.The method makes fully use of chromatics stimulation trivalue and the advances of fuzzy neural network such as clustering,infinite approaching,generalization,learning,so that the reliability of recognition effects,which fits to the human sense,is increased.
出处
《传感器技术》
CSCD
北大核心
2003年第11期57-59,62,共4页
Journal of Transducer Technology
