APROPOSED METHOD FOR FACE IMAGE EDGE DETECTION USING MARKOV BASIS

Edge detection is one of the basic steps in image processing, image pattern recognition, image analysis and computer vision techniques. it is solving many complex problems, Edge is determined on the basis of the boundary between two different areas of color intensity in the image. In this paper we suggested edge detection method for detection of facial expression to pick up the edge of eyes, mouth's and other facial expressions of a human face image. we compare the facial expressions for suggested method with the expressions resulting from traditional methods to edge detection (Sobel, Prewitt, , Robinson, Marr-Hildreth, LoG and Canny Edge Detection). The method depend on a suggested filter result from combine some elements of the markov basis found by H.H.Abbas and H.S.Mohammed hussein in 2014, and Laplace filters, the results of using this suggested method to color image or gray image is more accuracy and clarity than traditional methods.