An Algorithm for Remote Sensing Image Edge Detection Based on Fuzzy Sets

This paper introduces a new algorithm for remote sensing image edge detection based on fuzzy sets.Because of the complexity, the highly consistency of edges and the evidence of noise in remote sensing image, this algorithm links the mathematical morphology, the method of slipping window and fuzzy enhancing to extract the information of edges. At the beginning of the process in the proposed algorithm, the edges in the slipping windows are enhanced by using the method of fuzzy enhancing.Then the slipping window traverses the whole image.Finally, it detects the edges of remote sensing image by mathematical morphology operators. The simulations in this paper prove that this algorithm which contains many advantages of some kinds of methods not only is able to solve the problem by using single method, but also can elevate the edges and keep the image sharp at the same time.