An edge detection method based on information fusion

Image fusion is one of the main field of multi-source information fusion. Edge is one of basic features of image, and extracting edges could give a strong support to target recognition. For the edge detection problems, this paper proposes an improved edge detection method based on information fusion. First, through constructing a target function and calculating the differential coefficient of the target function, the mass evaluation of the least target function can be gotten, then the grads matrix of the image is evaluated, and the final edge information can be obtained according to a certain criterion. The algorithm improves the anti-noise quality of edge detection. The experimental result proves the applicability of the method.