2012 ©
             Publication
Journal Publication
Research Title Multilevel thresholding for satellite image segmentation with moth-flame based optimization 
Date of Distribution 21 November 2016 
Conference
     Title of the Conference 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2016 
     Organiser Department of Computer Science, Faculty of Science, Khon Kaen University 
     Conference Place Pullman Khon Kaen Raja Orchid hotel 
     Province/State Khon Kaen, Thailand 
     Conference Date 13 July 2016 
     To 15 July 2016 
Proceeding Paper
     Volume
     Issue
     Page 460-465 
     Editors/edition/publisher  
     Abstract In this paper, an improved version of the moth-flame optimization (MFO) algorithm for image segmentation is proposed to effectively enhance the optimal multilevel thresholding of satellite images. Multilevel thresholding is one of the most widely used methods for image segmentation, as it has efficient processing ability and easy implementation. However, as the number of threshold values increase, it consequently becomes computationally expensive. To overcome this problem, the nature-inspired meta-heuristic named multilevel thresholding moth-flame optimization algorithm (MTMFO) for multilevel thresholding was developed. The improved method proposed herein was tested on various satellite images tested against five different existing methods: the genetic algorithm (GA), the differential evolution (DE) algorithm, the artificial bee colony (ABC) algorithm, the particle swarm optimization (PSO) algorithm, and the moth-flame optimization (MFO) algorithm for solving multilevel satellite image thresholding problems. Experimental results indicate that the MTMFO more effectively and accurately identifies the optimal threshold values with respect to the other state-of-the-art optimization algorithms. 
Author
547020034-9 Mr. NIPOTEPAT MUANGKOTE [Main Author]
Science Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis false 
Presentation awarding false 
Attach file
Citation 0