基于数学形态学与小波变换的边缘检测算法  

Edge detection algorithm based on mathematical morphology and wavelet transform

作　　者：许端[1] 董文锋[2] 潘自凯 戴锦红[4] 徐怡频 

机构地区：[1]空军预警学院研究生管理大队 [2]空军预警学院信息对抗系 [3]93502部队 [4]空军预警学院学员系 [5]95992部队

出　　处：《计算机应用》2012年第A02期165-167,共3页journal of Computer Applications

摘　　要：针对传统边缘检测方法去噪效果不理想的情况,分别对数学形态学和小波变换基本理论进行了分析,提出了一种基于数学形态学和小波变换的边缘检测方法。首先利用数学形态学基本运算对含有噪声的图像进行滤波,然后利用小波变换原理提取图像边缘。通过Matlab仿真分析,对比其他几种边缘检测算法,验证了该方法能够有效地检测出图像的边缘。To solve the problem that traditional methods can not perfectly de-noise images with heavy noise, the basic theory of mathematical morphology and wavelet transform were analyzed respectively, and a method based on mathematical morphology and wavelet transform was proposed. Mathematical morphology is used to filter noise of infrared images firstly, then wavelet transform was employed to detect the edge of the images. Through the Matlab simulation and contrast with some other edge detection algorithms the effectiveness of the method was verified.

关 键 词：数学形态学 小波变换 滤波 MATLAB仿真 边缘检测算法 

分 类 号：TN974[电子电信—信号与信息处理]