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Proceedings Paper

A novel approach for fuzzy edge detection using type II fuzzy sets
Author(s): Vamsi Krishna Madasu; Madasu Hanmandlu; Shantaram Vasikarla
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Paper 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.

Paper Details

Date Published: 5 September 2008
PDF: 8 pages
Proc. SPIE 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, 70750I (5 September 2008); doi: 10.1117/12.795800
Show Author Affiliations
Vamsi Krishna Madasu, Queensland Univ. of Technology (Australia)
Madasu Hanmandlu, Indian Institute of Technology Delhi (India)
Shantaram Vasikarla, American InterContinental Univ., Los Angeles (United States)


Published in SPIE Proceedings Vol. 7075:
Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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