文章基本信息

标题：A Review on Multilevel Thresholding using Genetic Algorithm and Ant Colony Optimization
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作者：Pardeep Kaur ; Er. Neetu Gupta
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305148
出版社：S&S Publications
摘要：Image segmentation is the technique in which an image into meaningful parts .It plays an important rolein the image analysis and computer version. GA algorithm are evolutionary in nature so, it proved to be very timeconsuming. The genetic algorithm guarantees the local optimization but does not guarantees global optimization. Theoverall result depends on the selection of poor population may leads for poor segmentation. This paper has shown thatexisting segmentation tech suffers from various issues. So, to overcome the limitation of the GA based on themultilevel thresholding, in near future. Ant Colony based Optimization on multilevel thresholding segmentationalgorithm will be proposed. The overall objective is to reduce the time complexity of the genetic based segmentation.
关键词：Genetic algorithm; Ant Colony; Multilevel Thresholding; Population; Optimization