Detection of Edges using Fuzzy Logic
نویسندگان
چکیده
Edge detection is one of the most important steps in image processing. There are some method for edge detection such as Sobel, Preweitt, Laplacian and Laplacian of Gaussian. These methods have some limitations like fixed edge thickness and some parameter like threshold is difficult to implement. But fuzzy rule-based technique does not have such limitation, as we can change the edge thickness simply by changing rules and output parameters. This paper presents the edge detection by fuzzy rule based algorithm, which is able to detect edges efficiently from the gray scale images. The proposed method is demonstrated in comparison with the existing sobel edge detector. The PSNR of edge detection using fuzzy logic and sobel edge detector is compared.
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