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一个基于概率的数字图像直方图均衡化新方法
引用本文:孙忠贵,王玲. 一个基于概率的数字图像直方图均衡化新方法[J]. 四川师范大学学报(自然科学版), 2006, 29(3): 372-375
作者姓名:孙忠贵  王玲
作者单位:四川师范大学,计算机科学学院,四川,成都,610066;四川师范大学,计算机科学学院,四川,成都,610066
基金项目:四川省教育厅自然科学基金
摘    要:提出了一个基于概率的数字图像直方图均衡化新方法,该算法不但很好地解决了直方图均衡化的“过亮现象”,而且保留了经典算法的快速、自动化优点,有利于实现真正意义上的人工智能.最后通过实验仿真,并对算法的均衡化效果和时间复杂性进行了验证.

关 键 词:数字图像  人工智能  直方图均衡化  离群点
文章编号:1001-8395(2006)03-0372-04
收稿时间:2005-03-14
修稿时间:2005-03-14

A New Method Based on Probability for Histogram Equalization
SUN Zhong-gui,WANG Ling. A New Method Based on Probability for Histogram Equalization[J]. Journal of Sichuan Normal University(Natural Science), 2006, 29(3): 372-375
Authors:SUN Zhong-gui  WANG Ling
Affiliation:College of Computer Science, Sichuan Normal University, Chengdu 610066, Sichuan
Abstract:A new method based on probability for histogram equalization is proposed in this paper.It is proved that this new algorithm not only can conquer the "over brightness" disadvantage of traditional method but also can be fast and automatic as the traditional one.So this algorithm is beneficial for realizing artificial intelligence.Finally,the equalizing efficiency and the time-complex of the new algorithm are verified by experimental simulation.
Keywords:Digital image    Artificial intelligence   Histogram equalization   Outlier
本文献已被 CNKI 维普 万方数据 等数据库收录!
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