关键词: 最大隶属度原则, 彩色图像分割, 灰度直方图, 神经网络

Abstract: This method improves the traditional the approach of color image segmentation based on the fuzzy technology.First，change the color image into gray one.Then paint its gray histogram.For each gray level，we choose one of the pixels，which belong to this gray level，to represent its color.We save the R，G，B value of each gray level color.Then，according to this color，we build some color fuzzy sets and compute the attachment degree of every color of this image to each color fuzzy set.And based on the principle of maximum degree of membership，we confirm the attachment of every color，and we also build a neural network.This neural network is implemented to segment color images with higher speed and efficiency.

Key words: principle of maximum degree of membership, color image segmentation, gray histogram, neural network