A novel approach is presented for edge detection using the USAN area feature at a pixel, since the USAN area
characterizes the structure of the edge present in the neighborhood of a pixel. Next, Gaussian edge detector mask is
applied at each pixel taking the membership function of the USAN area. The resultant is then modified and thresholded
to yield the binary image. The results of the proposed edge detector is compared with other well known edge detector
like Canny, SUSAN, Gradient diffusion operator etc. The edge detected image from the proposed approach seems to fare
well over others. Moreover this edge detector also preserves the structure of the image unlike Canny. This is an added
advantage with this approach.