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  • 标题:A New Clustering-based Algorithm for Image Segmentation
  • 本地全文:下载
  • 作者:Shermin Sarrafha ; Maryam Khademi ; Mehdi Heidari
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2013
  • 卷号:2
  • 期号:4
  • 页码:742
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:Segmentation is a crucial task in medical image processing. One of the greatest significant usages of image processing in medicine is recognizing cancerous or leisured tissues in MRI images. In this paper a new Clustering-Based algorithm is proposed for finding leisured segments in cancerous breast MRI images. The algorithm recursively detect the similar pixels to the current pixel and place them in the desired cluster. A threshold is defined due to the train data and if two adjacent pixels' colors differ less than the threshold , they are considered as similar. Experimental evaluations show that the algorith m is able to recognize the leisured areas with 94.3% accuracy and high speed
  • 关键词:image processing; segmentation; breast MRI; ; clustering algorithm
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