二维及三维数字图像边缘检测算法进展综述  

A survey of the development of edge detection algorithms in two-dimensional and three-dimensional digital images

作　　者：马润渊[1] 刘鑫淼[1] 汪西原[1] 

机构地区：[1]宁夏大学物理电气信息学院,宁夏银川750021

出　　处：《长春大学学报》2009年第12期65-67,共3页Journal of Changchun University

基　　金：宁夏自然科学基金(NZ0724)

摘　　要：边缘是图像最重要的特征之一,包含图像中用于识别的有用信息。本文首先就二维图像综述空域、频域和混合边缘检测方法,重点阐述超小波边缘检测方法及其优点;然后对三维图像总结比较现有三维图像边缘检测方法,并给出发展方向。Edge,as an important character of images, includes useful information that can be applied to recognition. This article summarizes the spatial domain, frequency domain and mixed edge detection methods in two-dimensional images, focuses on the superwavelet edge detection method and its advantages, and then summarizes and compares them with the current edge detection methods in three-dimensional images and gives the direction of development.

关 键 词：边缘检测 MALLAT 超小波 三维图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]