Chang-Young Lee

Edge Detection Using Modified Directional Coefficient Mask in AWGN

Image segmentation is required for the analysis of images and edge is one of the essential elements of image segmentation. Edge contains image information and it is applied in various fields of image processing. Typical methods of edge detection include Sobel, Prewitt and Roberts method and such methods have the advantage of simple realization and fast processing speed as they process images with mask in spatial area. However, when images are degraded by the addition of AWGN, an error of detecting edge in noise areas occur. Therefore, in this paper a new edge detection algorithm with excellent edge detection characteristics which effectively removes AWGN is proposed.