基于最大熵与小波变换的图像边缘检测算法  

Edge Detection Arithmetic of Digital Image Based on the Maximum Entropy and Wavelet Transform

作　　者：姜兴乾[1] 李星野[1] 贾淑华[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《微电子学与计算机》2009年第3期189-191,共3页Microelectronics & Computer

基　　金：上海市自然科学基金项目(06ZR14144);上海市教育委员会科研项目(07ZZ94)

摘　　要：提出了一种有效的基于最大熵和小波变换的数字图像边缘检测算法,并用形态学方法对图像进行优化处理.文中算法不但能够很好的提取图像边缘,同时对经典算法提取边缘后出现的断续不完整现象有了很好的改进,还能有效的去除噪声和伪轮廓.和一些传统的边缘检测算法相比,本算法在细节丰富和含有噪声的图像中应用具有优越性,达到了很好的识别边缘的效果.This paper brings forward a effective method which combines the maximum entropy and wavelet transform by edge detection method of digital image,and uses morphological method to make optimization on image.This method not only well extracts image edge,but also makes a good improvement on spiccato half-baked edge phenomena which has coped with classical arithmetic,effectively wipes off noise and fake contour.Comparing with some traditional edge detection methods,this method which is used in the paper has a sup...

关 键 词：最大熵 小波变换 边缘检测 伪轮廓 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]