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

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.