Fuzzy detection on color image

This paper describes a new color image edge detection method. Edge detection application based on fuzzy set theory is introduced in this paper. First of all, we design fuzzy inference engine to detect image edges. In inference engine step, two Gaussian membership functions in two directions (horizontal and vertical) are used for input signals. Finally, two triangle and one Gaussian membership functions were used for defuzzification step. By using fuzzy process and defuzzification, we obtain a relationship between input and output values. Simulation results show the proposed method outperformed conventional edge detection methods. © 2016 SERSC.