Wavelets for Edge Detection in Noisy Images

-In this paper, we present a wavelet based edge detection technique. Edge detection is an important step in pattern recognition, image segmentation, and scene analysis. The conventional approaches to edge detection fail in presence of noise in images and may cause problems in many applications. But noise is very effectively reduced by wavelet filters without any significant loss in the image resolution. Unlike canny edge detection in which the first step is image smoothing by a Gaussian filter to reduce the effect of noise and next step is edge detection. In wavelet these two steps are combined into a single step and thus wavelet based techniques are computationally more efficient. It is experimentally proved that the wavelet based edge detector gives better result than traditional techniques for noisy images.