A novel approach for fuzzy edge detection using type II fuzzy sets

Vamsi Krishna Madasu; Madasu Hanmandlu; Shantaram Vasikarla

doi:10.1117/12.795800

5 September 2008 A novel approach for fuzzy edge detection using type II fuzzy sets

Vamsi Krishna Madasu, Madasu Hanmandlu, Shantaram Vasikarla

Proceedings Volume 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI; 70750I (2008) https://doi.org/10.1117/12.795800
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available