Edge detection based on fuzzy gradient and standard deviation values

Abstract

This paper presents a new fuzzy based edge detection algorithm. In this paper, first both gradient and standard deviation values are computed, form two set of edges, and are utilized as inputs for our fuzzy system. Then based on the Gaussian function, fuzzy system decides on each pixel according to fuzzy rules. Finally defuzzification is made and we have compared results of the proposed algorithm with other algorithms such as Sobel, Robert, and Prewitt. Experimental results show the ability and high performance of proposed algorithm. Some jobs should be done in the future to improve fuzzy system performance.