Paper
30 August 2002 Image edge detection method of wavelet-transform based on voting-algorithm
Huiguang Li, Jian Wang
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huiguang Li and Jian Wang "Image edge detection method of wavelet-transform based on voting-algorithm", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481632
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KEYWORDS
Wavelet transforms

Edge detection

Image processing

Wavelets

Fourier transforms

Image filtering

Image resolution

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