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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7540
Title: Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions
Authors: Bhandari A.K.
Kumar A.
Singh, Girish Kumar
Published in: Expert Systems with Applications
Abstract: In this paper, a modified artificial bee colony (MABC) algorithm based satellite image segmentation using different objective function has been presented to find the optimal multilevel thresholds. Three different methods are compared with this proposed me
Citation: Expert Systems with Applications (2015), 42(3): 1573-1601
URI: https://doi.org/10.1016/j.eswa.2014.09.049
http://repository.iitr.ac.in/handle/123456789/7540
Issue Date: 2015
Publisher: Elsevier Ltd
Keywords: ABC
Between-class variance
Image segmentation
Kapur's entropy
MABC
Multilevel thresholding
PSO and GA algorithm
Tsallis entropy
ISSN: 9574174
Author Scopus IDs: 25651606700
35220209900
57193351909
Author Affiliations: Bhandari, A.K., PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur, 482005, India
Kumar, A., PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur, 482005, India
Singh, G.K., Department of Ele
Corresponding Author: Bhandari, A.K.; PDPM Indian Institute of Information Technology Design and ManufacturingIndia
Appears in Collections:Journal Publications [EE]

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