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5 September 2008 A novel approach for fuzzy edge detection using type II fuzzy sets
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Abstract
A novel approach is presented for edge detection using the USAN area feature at a pixel, since the USAN area characterizes the structure of the edge present in the neighborhood of a pixel. Next, Gaussian edge detector mask is applied at each pixel taking the membership function of the USAN area. The resultant is then modified and thresholded to yield the binary image. The results of the proposed edge detector is compared with other well known edge detector like Canny, SUSAN, Gradient diffusion operator etc. The edge detected image from the proposed approach seems to fare well over others. Moreover this edge detector also preserves the structure of the image unlike Canny. This is an added advantage with this approach.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vamsi Krishna Madasu, Madasu Hanmandlu, and Shantaram Vasikarla "A novel approach for fuzzy edge detection using type II fuzzy sets", Proc. SPIE 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, 70750I (5 September 2008); https://doi.org/10.1117/12.795800
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