A Kind of Edge Detection Algorithm with Edge-Preserving Characteristics

作     者：Zheng Dou Peng-Yu Shi Yun Lin 

作者机构：Institute of Information and Communications EngineeringHarbin Engineering University Unit 92493 of People's Libration Army 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2013年第20卷第2期

页      面：86-89页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Sponsored by the Nation Nature Science Foundation of China(Grant No.61201237) the Nature Sciece Foundation of Heilongjiang Province of China(Grant No.QC2012C069) the Fundamental Research Funds for the Central Universities(Grant No.HEUCFZ1129,HEUCF130810,HEUCF130817) 

主　　题：variance measure image fusion wavelet transformation multi-resolution analysis 

摘      要：Traditional Sobel algorithm is deeply influenced by Gaussian noise,therefore,before boundary extraction,mean filter should be done. But the filtering process is always over-smooth images details of certain directions,so that images edges will not be extracted correctly. Aiming at this problem,this paper puts forward a detection algorithm based on edge-preserving characteristics,by matching edge mould of different directions to definite edge preserving directions. Instead of the mean filter process,this algorithm improves the performance of traditional algorithms,and provides the simulation results. The experiment results prove that this algorithm preserves more images edge information when canceling noise.