A hybrid of fireworks and harmony search algorithm for multilevel image thresholding

Shivali, Lalit Maurya, Ekta Sharma, Prasant Mahapatra*, Amit Doegar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multilevel image thresholding is an essential part of image processing. This paper presents a hybrid implementation of fireworks and harmony search algorithm where Kapur’s entropy is used as the fitness function for solving the problem. The results of the proposed method have been compared with the standard fireworks algorithm (FWA) and particle swarm optimization (PSO) based multilevel thresholding methods. Experimental results indicate that the proposed method is a promising approach in the field of image segmentation.

Original languageEnglish
Title of host publicationAdvanced Computing and Communication Technologies - Proceedings of the 10th ICACCT, 2016
EditorsDhananjay Bhattacharyya, Jyotsna Kumar Mandal, Ramesh K. Choudhary
PublisherSpringer Singapore
Pages11-21
Number of pages11
ISBN (Electronic)9789811046032
ISBN (Print)9789811046025
DOIs
Publication statusPublished - 25 Oct 2017
Event10th International Conference on Advanced Computing and Communication Technologies, ICACCT 2016 - Panipat, India
Duration: 18 Nov 201620 Nov 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume562
ISSN (Print)2194-5357

Conference

Conference10th International Conference on Advanced Computing and Communication Technologies, ICACCT 2016
Country/TerritoryIndia
CityPanipat
Period18/11/1620/11/16

Keywords

  • Fireworks algorithm
  • Harmony search algorithm
  • Image segmentation
  • Kapur’s entropy
  • Multilevel image thresholding

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