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Proceedings Paper

Image edge detection method of wavelet-transform based on voting-algorithm
Author(s): Huiguang Li; Jian Wang
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Paper Abstract

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 cany 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.

Paper Details

Date Published: 30 August 2002
PDF: 5 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481632
Show Author Affiliations
Huiguang Li, Yanshan Univ. (China)
Jian Wang, Yanshan Univ. (China)


Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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