摘要
在处理图像的过程当中,边缘检测环节和提取环节具有重大的作用,算法是否科学直接决定着整体的功能。新世纪以来,我国边缘检测算法取得了举世瞩目的成就,可仍有很多的弊端需要我们去解决。因此,如何探索更加简便、容易实现的算法,具有重要的现实意义。而将扩散滤波理论应用于图像的边缘检测中,对图像进行扩散率波时,使用双向的扩散框架,可以让其增加逆向扩散边缘的效果。本文主要对基于扩散滤波的图像边缘检测算法这一问题展开了深入的研究和探讨,希望可以给同行朋友提供有用的帮助。
In the process of image processing,edge detection link and extracting links plays an important role,algorithm is scientific directly decides the whole function.Edge detection algorithm since the new century,our country has achieved remarkable achievements,but there are still many shortcomings need we to solve it.Therefore,how to explore more simple and easy to implement algorithm,has important practical significance.And the diffusion filtering theory is applied to image edge detection,image during wave diffusion rate,use the spread of the two-way framework,allows it to add the edge of the reverse diffusion effect.This article mainly for image edge detection algorithm based on the diffusion filtering launched the thorough research and discussion on this issue,hope can provide useful help to friends counterparts.
出处
《电子测试》
2013年第3X期78-79,共2页
Electronic Test
关键词
边缘检测
扩散滤波
双向扩散
图像锐化
edge detection
Diffusion filtering
The bidirectional diffusion
Image sharpening
