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  • 标题:Colour image segmentation using K – Medoids Clustering
  • 本地全文:下载
  • 作者:Amit Yerpude ; Dr. Sipi Dubey
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:1
  • 页码:152-154
  • 出版社:Technopark Publications
  • 摘要:K – medoids clustering is used as a tool for clustering color space based on the distance criterion. This paper presents a color image segmentation method which divides colour space into clusters. Through this paper, using various colour images, we will try to prove that K – Medoids converges to approximate the optimal solution based on this criteria theoretically as well as experimentally. Here we will also compare the efficiency of available algorithm for segmentation of gray as well as noisy images
  • 关键词:Color image segmentation; Clustering; K - Medoids; K - Means
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