Threshold selection using fuzzy set theory

Authors:
Tamalika Chaira;A. K. Ray
Affiliations:
Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, India;Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, India
Venue:
Pattern Recognition Letters
Year:
2004

Citing 6
Cited 6

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Abstract

This paper introduces an image thresholding method using four types of fuzzy thresholding methods taking Gamma membership into account for determining the membership values of the pixels of an image. The effectiveness of this method is illustrated by using a set of images having various types of histograms. A comparative study on images has also been done.The experimental results have demonstrated good performance in unilevel, bilevel and trilevel thresholding.