A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction Articles uri icon

publication date

  • April 2018

start page

  • 96

end page

  • 118

issue

  • 1

volume

  • 32

International Standard Serial Number (ISSN)

  • 0883-9514

Electronic International Standard Serial Number (EISSN)

  • 1087-6545

abstract

  • Image clustering is a critical and essential component of image analysis to several fields and could be considered as an optimization problem. Cuckoo Search (CS) algorithm is an optimization algorithm that simulates the aggressive reproduction strategy of some cuckoo species.In this paper, a combination of CS and classical algorithms (KM, FCM, and KHM) is proposed for unsupervised satellite image classification. Comparisons with classical algorithms and also with CS are performed using three cluster validity indices namely DB, XB, and WB on synthetic and real data sets. Experimental results confirm the effectiveness of the proposed approach.