图像的模糊增强与聚类分割

FUZZY ENHANCEMENT AND CLUSTER SEGMENT OF IMAGE

本文对于被噪声污染而又要求按若干个灰度级作多区域分割的图象处理问题，给出了模糊增强的具体实现过程；并提出基于直方图对多个亮度进行聚类分析，通过建立聚类目标函数的最小化数据，确立多级灰度门限，从而实现图像的多级灰度的最佳分割。

In this paper, a realization process of fuzzy enhancement is given for application to multi area segment of image blurred by noise and segmented in multi grey levels; the cluster analysis of multi grey levels is proposed,based on the histogram, and establishing the criterion of minimizing, the object function and the thresholds of multi grey level, the optimal division of image can be got in multi grey levels.