Edge detection in noisy images using wavelet transform
P Vikas, M. Sri Lakshmi, M. Sampath Rajkumar, P. M. K. Prasad · 2015
In this paper, we present edge detection technique based on wavelet transform for noisy images. Edge detection is basic and significant technique in medicine and image processing. The conventional approaches to edge detection fail when the noise is present in images. Noise can be effectively reduced using wavelet transform without any significant loss in the image quality. 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 and it uses multiresolution technique It is experimentally proved that the wavelet based edge detection gives better result than traditional techniques for noisy images.