Image enhancement and thresholding by optimization of fuzzy compactness

Pal, Sankar K. ; Rosenfeld, Azriel (1988) Image enhancement and thresholding by optimization of fuzzy compactness Pattern Recognition Letters, 7 (2). pp. 77-86. ISSN 0167-8655

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...

Related URL: http://dx.doi.org/10.1016/0167-8655(88)90122-5

Abstract

Algorithms based on minimization of compactness and of fuzziness are developed whereby it is possible to obtain both fuzzy and nonfuzzy (thresholded) versions of an ill-defined image. The incorporation of fuzziness in the spatial domain, i.e., in describing the geometry of regions, makes it possible to provide more meaningful results than by considering fuzziness in grey level alone. The effectiveness of the algorithms is demonstrated for different bandwidths of the membership function using a blurred chromosome image having a bimodal histogram and a noisy tank image having a unimodal histogram as input.

Item Type:Article
Source:Copyright of this article belongs to International Association for Pattern Recognition.
Keywords:Image Enhancement; Tresholding; Compactness; Fuzzy Sets; Fuzziness; Fuzzy Compactness
ID Code:26059
Deposited On:06 Dec 2010 13:10
Last Modified:13 Jun 2011 06:12

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