摘要
通过比较几种图像直方图均衡化的应用范围,提出一种基于模糊聚类分割的累计直方图均衡化的方法。实验结果表明:与传统直方图均衡化算法相比,使用该方法处理后的图像不仅使灰度值分布更加均匀,增强了整体对比度,而且保留了原图像更多的细节信息,很好地达到了图像增强的目的。
In this paper, by comparing several kinds of the application range of the image histogram equalization, a method of cumulative histogram equalization based on fuzzy clustering segmentation is proposed.The experimental results show that, compared with the traditional histogram equalization algorithm,using this method to process images, not only the gray value distribution is more evenly,and enhancs the overall contrast, but also more detail information can be retained. The goal of the image enhancement is achieved very well.
出处
《微型机与应用》
2014年第19期46-49,共4页
Microcomputer & Its Applications
关键词
模糊聚类分割
累计直方图均衡化
图像增强
fuzzy clustering segmentation
cumulative histogram equalization
image enhancement
