摘要
从理论上分析了直方图均衡化过程中灰度级合并的原因,给出了简单的物理解释和解析推导,并讨论了该算法的缺点。为了使图像保留更多的细节信息、消除虚假轮廓且保持连续性,提出了保留灰度级的直方图均衡化算法,并分析了其基本原理。实验结果表明:通过该算法处理的图像比采用传统直方图均衡化算法处理的图像效果好。
The cause of amalgamation of gray level during the histogram equalization is analyzed through theory.The simple physical explain and analytical deduction is given.The shortcoming of the algorithm is discussed.The algorithm of histogram equalization based on reserving gray level is brought up in order to reserve more detail information,eliminate the false outline and maintain the continuity of the image after processing.The basic principle is analyzed. The result of experiment verifies that the image after processing by the algorithm is better than that of the algorithm used by the histogram equalization.
出处
《光学技术》
CAS
CSCD
北大核心
2008年第S1期141-142,共2页
Optical Technique
基金
湖南省"十一五"重点建设学科--光学基金资助项目
湖南文理学院重点科研资助项目(JJZD0702)
关键词
图像增强
直方图均衡化
灰度级
image enhancement
histogram equalization
gray level
