A New Method for Edge Detection Using Imperialist Competitive Algorithm
نویسندگان
چکیده
In this paper, a method for extracting edges from Imperialistic competition evolutionary algorithm is used. The edges of this method are obtained in two distinct ways: The first method of imperialistic competitive algorithm for optimizing the parameters of a decision threshold. The method is useful to derive the standard Sobel edge operator and improved Sobel operator productivity. The second method uses two-dimensional image structure on the edge of the neighborhood will be defined so that each entry in the data represents the position of each pixel. Simulation results show the proposed method can solve edge detection problem with relatively good quality. The review indicated the proposed method is robust against noise.
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