An image edge detection method of wavelet-transform based on Voting-Algorithm

被引：0

作者：

Li, HG ^{[1
]}

Wang, J ^{[1
]}

机构：

[1] Yanshan Univ, Coll Elect Engn, Dept Automat, Qinhuangdao 066004, Peoples R China

来源：

ELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY III | 2002年 / 4925卷

关键词：

wavelet transform; canny operation; multiresolution edge detection; voting-algorithm;

D O I：

10.1117/12.481632

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The traditional edge detection gets the edge by one-off process and has no multiresolution character. Wavelet transform can decompose images into various multiresolution sub-images. And the multiresolution edge image can be detected by calculate maxima of the sub-images. The isolated edge sub-image in only one scale cannot carry the sufficient edge information. Considering correlations in these sub-images, a new method by taking advantage of the correlation is presented. In the new method, the edge sub-images which got from the LL1, LL2, (...) , LLN were endued different weights and inputted into a voting-algorithm. After calculating the total weight of each pixel in the different sub-images, the pixels whose weight exceed a threshold act as the final edge point.

引用

页码：41 / 45

页数：5

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