An image segmentation method using fuzzy-based threshold

Wong , Hock Tze @ Farrah Wong Tze @ Farrah Wong and Nagarajan, R. and Sazali Yaacob, and Chekima, Ali and Nour-Eddine Belkhamza, (2002) An image segmentation method using fuzzy-based threshold. In: Sixth International Symposium on Signal Processing and its Applications - ISSPA 2001, 13 -16 Aug 2001 , Kuala Lumpur, Malaysia.

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Abstract

This paper reports on a method of image segmentation using a threshold value determined via fuzzy logic. Image segmentation is the core to pattern recognition or is used as the initial process in many machine vision applications. Images are fuzzy due to the imprecision of gray values and vagueness in various image definitions. The fuzzy-based segmentation reported in this paper is an automated threshold calculation. The threshold value computed by utilizing the histogram of the image and the measure of fuzziness constitute the initial step in the proposed segmentation procedure. The threshold value is then inputted into the "split and merge" method of segmentation. The results of the segmentation procedure are presented in this paper and they show promising output

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Automated threshold calculation , Fuzzy logic , Image histogram , Image segmentation , Imprecise gray values , Machine vision applications , Pattern recognition
Subjects: ?? TA1501-1820 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 24 Feb 2011 10:29
Last Modified: 10 Sep 2014 03:55
URI: http://eprints.ums.edu.my/id/eprint/1859

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