fuzzy original image

This paper researched on the fuzzy and gray theory, recognized facial image by fuzzy and gray method, which can reduce original data and guarantee and improve the precision.

本文通过对模糊灰色理论的研究，利用模糊灰色理论方法对人脸图像进行识别，可以减少所需原始数据，保证并提高识别精度。

Without considering the spatial information of images, the original fuzzy C-means algorithm is very sensitive to image noise.

由于原始的模糊c -均值聚类算法没有考虑图像的空间信息，算法对图像中的噪音点十分敏感。

In the application of the image segmentation, the new model solves the over-segmentation of the original Fuzzy ART neural network algorithm due to the vigilance's increase.

将该模型应用于图像分割，解决了传统模糊art网络图像分割结果随警戒参数的升高而出现的过度分割。