Study of Border Processing in Image Wavelet Edge Detection
Li Peng · Jisuanji gongcheng · 2007
The signals from project applications are usually localized in the finite time and frequency domains,so most transform methods need to extend their boundaries.But traditional border processing methods will cause false edges,and also should consider the parity of filter coefficient.To solve these problems,this paper analyzes and improves the traditional border processing methods on wavelet image edge detection,and also gives a new kind of border processing method on the basis of the improved method,it gains an superduper effect on wavelet image edge detection.There are no false edges when the new kind of border processing method is used,further more,it doesn’t need to consider the parity of filter coefficient,all of these bring conveniences for the practical work.