摘要
在阐明图像增强处理基本方法基础上,对几种有代表性的图像增强算法(基于直方图均衡化图像增强算法,基于模糊集理论的图像增强算法,基于小波变换的图像增强算法,基于人眼视觉特性的彩色图像增强算法及基于神经网络的图像增强算法)做简单介绍,对现有直方图的均衡化算法进行分析、对比,综合多种算法对现有直方图均衡化算法做改进,得出一种新的直方图均衡化方法。
Based on the exposition for the fundamental methods of image enhancement processing,it simply introduces several kinds of representative image enhancement algorithm（image enhancement algorithm based on histogram equalization,image enhancement algorithm based on fuzzy set theory,image enhancement algorithm based on wavelet transform,image enhancement algorithm based on human visual property and image enhancement algorithm based on artificial neural network）.Carries on the analysis and contrast to the existing histogram equalization algorithm.Finally,we synthesize many kinds of algorithms to make some improvements to the existing histogram equalization algorithm and obtain one new histogram equalizing method.
出处
《交通科技与经济》
2011年第1期122-125,共4页
Technology & Economy in Areas of Communications
