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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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