Multiscale edge detection of noisy images using wavelets

作     者：FAROOQ M 

作者机构：College of Automation EngineeringNanjing University of Aeronautics & Astronautics 

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：2007年第14卷第5期

页      码：737-740页

摘      要：The classical edge detectors work fine with the high quality pictures, but often are not good enough for noisy images because they cannot distinguish edges of different significance. The paper presented a novel approach to multiscale edge detection for noisy images using wavelet transforms based on Lipschitz regularity coefficients and a cascade algorithm. The relationship between wavelet transform and Lipschitz regularity was established. The proposed wavelet based edge detection algorithm combined the coefficients of wavelet transforms along with a cascade algorithm which significantly improves the result. The comparison between the proposed method and the classical edge detectors was carried out. The algorithm was applied to various images and its performance was discussed. The results of edge detection of contaminated images using the proposed algorithm show that it works better than the classical edge detectors.

主 题 词：edge detection wavelet lipschitz regularity cascade algorithm 

学科分类：0810[工学-土木类] 08[工学] 081002[081002] 

核心收录：

馆 藏 号：203133205...