Area Based Novel Approach for Fuzzy Edge Detection

This paper presents a novel approach for edge detection based on the univalue segment assimilating nucleus (USAN) area. The USAN area characterizes the structure of the edge present in the neighborhood of a pixel and can thus be considered as a unique feature of the pixel and is fuzzified. The Gaussian edge detector mask is then applied to the associated Gaussian membership function of the USAN area. A threshold is applied on the resultant gradient image to yield the binary image. The results of the proposed edge detector are compared with other well known edge detection techniques and it is found that the image obtained using the proposed approach is qualitatively the best