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  • 标题:Evolutionary Based Segmentation in Image Mining
  • 本地全文:下载
  • 作者:M.S.Makesar ; Dr.N.A.Koli ; R.N.Khobragade
  • 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:8
  • DOI:10.15680/IJIRCCE.2015. 0308065
  • 出版社:S&S Publications
  • 摘要:Segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). The goalof segmentation is to simplify and change the representation of an image into something that is more meaningful.Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. Segmentationdecides the success of image mining. Genetic algorithms are defined as stochastic optimization method based on theprinciples of natural selection and evolution. In accordance with Darwin’s theory of evolution, evolution in geneticalgorithms proceeds by promoting the survival of the fittest.
  • 关键词:Segmentation; Image mining; Genetic algorithm
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