Area Based Novel Approach for Fuzzy Edge Detection
Madasu, Vamsi K., Vasikarla, Shantaram, Hanmandlu, Madasu, & Kalra, Rohan Raj (2006) Area Based Novel Approach for Fuzzy Edge Detection. In Luk, K.M. (Ed.) 2006 IEEE Region 10 Conference TENCON 2006, 14-17 November 2006, Hong Kong, China.
This paper presents a novel approach for edge detection based on the univalue segment assimilating nucleus (USAN) area. The USAN area characterizes the structure of the edge present in the neighborhood of a pixel and can thus be considered as a unique feature of the pixel and is fuzzified. The Gaussian edge detector mask is then applied to the associated Gaussian membership function of the USAN area. A threshold is applied on the resultant gradient image to yield the binary image. The results of the proposed edge detector are compared with other well known edge detection techniques and it is found that the image obtained using the proposed approach is qualitatively the best.
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|Item Type:||Conference Paper|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2006 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||04 Sep 2007|
|Last Modified:||11 Aug 2011 04:03|
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