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局部灰度级展开的子块直方图均衡方法
引用本文:余翔宇,陈淑珍,吴小伟,陈菲.局部灰度级展开的子块直方图均衡方法[J].计算机工程,2003,29(1):187-188.
作者姓名:余翔宇  陈淑珍  吴小伟  陈菲
作者单位:武汉大学电子信息学院,武汉,430072
摘    要:直方图均衡是进行图像处理最基本的处理方法,该文提出一种用改进的子块直方图均衡的方法,在将图像分成子块处理的基础上再根据子块内的灰度分布决定其展开范围,而不是机械地在全部灰度级展开,通过对一幅肺部CT图像进行处理表明,该方法较之传统的方法更能够提高细节的对比度,能有效地应用于边缘检测以及医学图像处理等领域。

关 键 词:直方图  直方图均衡  子块
文章编号:1000-3428(2003)01-0187-02
修稿时间:2002年1月9日

A Partly Gray Level Spreading Sub-block Method of Histogram Equalization
YU Xiangyu,CHEN Shuzhen,WU Xiaowei,CHEN Fei.A Partly Gray Level Spreading Sub-block Method of Histogram Equalization[J].Computer Engineering,2003,29(1):187-188.
Authors:YU Xiangyu  CHEN Shuzhen  WU Xiaowei  CHEN Fei
Abstract:Histogram equalization is a basic method in image processing. This article puts forward an improved method to equalize histogram, instead of spreading it to all gray class, it is handled firstly by dividing the image into many sub-blocks and then the range that will be spreaded is decided by its maximum and minimum gray value. Through processing an medical image, it is seen that the method can enhance the contrast of a image than traditional method. This method can be applied in some fields such as edge detection and medical image processing efficiently.
Keywords:Histogram  Histogram equalization  Sub-block
本文献已被 CNKI 维普 万方数据 等数据库收录!
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