Novel Fuzzy logic Based Edge Detection Technique

This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values are utilized as fuzzy system inputs. Decision on whether pixels in focus belong to an edge or non-edge is made in the proposed technique based on the Gaussian membership functions and fuzzy rules. Mamdani defuzzifier method is employed to produce the final output pixel classification of a given image. Experimental results show the ability and high performance of proposed algorithm compared with Sobel and Kirsch operators.