Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm

Pare, S; Prasad, M; Puthal, D; Gupta, D; Malik, A; Saxena, A

Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm

Pare, S Prasad, M

Puthal, D

Gupta, D Malik, A Saxena, A

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Fuzzy Systems, 2021, 2021-July
Issue Date:: 2021-07-11

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Field	Value	Language
dc.contributor.author	Pare, S
dc.contributor.author	Prasad, M https://orcid.org/0000-0002-7745-9667
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X
dc.contributor.author	Gupta, D
dc.contributor.author	Malik, A
dc.contributor.author	Saxena, A
dc.date	2021-07-11
dc.date.accessioned	2022-07-02T05:46:00Z
dc.date.available	2022-07-02T05:46:00Z
dc.date.issued	2021-07-11
dc.identifier.citation	IEEE International Conference on Fuzzy Systems, 2021, 2021-July
dc.identifier.isbn	9781665444071
dc.identifier.issn	1098-7584
dc.identifier.uri	http://hdl.handle.net/10453/158524
dc.description.abstract	To handle the fuzziness and spatial uncertainties among pixels entailed in color images, this paper proposes a novel fuzzy entropy function for multi-threshold image segmentation based on the energy curve concept and minimum fuzzy entropy criterion. The proposed energy curve based new fuzzy entropy function (ECFE) considers intensity distribution and spatial contextual information among the pixels. To improve efficiency and threshold selection process of the method, cuckoo search algorithm is employed. For comparison, backtracking search algorithm, and Lévy flight based firefly algorithm included. Comparison with recent color image multilevel segmentation techniques presented to test the effectiveness of the proposed algorithm. The performance of the proposed technique is evaluated using different satellite and natural color images. Quantitative and qualitative results demonstrate that the proposed algorithm is highly accurate, robust, and efficient for color image multilevel segmentation.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IEEE International Conference on Fuzzy Systems
dc.relation.ispartof	IEEE International Conference on Fuzzy Systems
dc.relation.ispartofseries	IEEE International Conference on Fuzzy Systems
dc.relation.isbasedon	10.1109/FUZZ45933.2021.9494443
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm
dc.type	Conference Proceeding
utslib.citation.volume	2021-July
utslib.location.activity	Luxembourg, Luxembourg
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-07-02T05:45:59Z
pubs.finish-date	2021-07-14
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2021-07-11
pubs.volume	2021-July
dc.location	Piscataway, USA

Abstract:

To handle the fuzziness and spatial uncertainties among pixels entailed in color images, this paper proposes a novel fuzzy entropy function for multi-threshold image segmentation based on the energy curve concept and minimum fuzzy entropy criterion. The proposed energy curve based new fuzzy entropy function (ECFE) considers intensity distribution and spatial contextual information among the pixels. To improve efficiency and threshold selection process of the method, cuckoo search algorithm is employed. For comparison, backtracking search algorithm, and Lévy flight based firefly algorithm included. Comparison with recent color image multilevel segmentation techniques presented to test the effectiveness of the proposed algorithm. The performance of the proposed technique is evaluated using different satellite and natural color images. Quantitative and qualitative results demonstrate that the proposed algorithm is highly accurate, robust, and efficient for color image multilevel segmentation.

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http://hdl.handle.net/10453/158524