Optimized algorithm for adaptive histogram equalization

被引：2
|
作者：
Gillespy, T [1 ]
机构：
[1] Univ Washington, Dept Radiol, Seattle, WA 98195 USA
来源：
MEDICAL IMAGING 1998: IMAGE PROCESSING, PTS 1 AND 2 | 1998年 / 3338卷
关键词：
adaptive histogram equalization; optimization;
D O I：
10.1117/12.310830
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Adaptive histogram equalization (AHE) is a useful technique for expanding local contrast in medical images. The method is based on histogram equalization of each pixel based on a local NxN image region. If the number of pixels in the NxN local region is equal to the number of grayshades in the image, the equalized histogram can be directly constructed from the distribution histogram. This optimization may permit AHE to be performed on standard medical image display workstations.
引用
收藏
页码：1052 / 1055
页数：4
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