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  • 标题:Deconstructing Web Browsers
  • 本地全文:下载
  • 作者:Syed Minhaj Ali¹ ; Roohi Ali² ; Sana Iqbal³
  • 期刊名称:Oriental Journal of Computer Science and Technology
  • 印刷版ISSN:0974-6471
  • 出版年度:2011
  • 卷号:4
  • 期号:2
  • 页码:417-421
  • 出版社:Oriental Scientific Publishing Company
  • 摘要:The accurate and effective algorithm for segmenting image is very useful in many fields, especially in medical image. In this paper we introduced a novel method that focus on segmenting the brain MR Image that is important for neural diseases. Because of many noises embedded in the acquiring procedure, such as eddy currents, susceptibility artifacts, rigid body motion, and intensity inhomogeneity, segmenting the brain MR image is a difficult work. In this algorithm, we overcame the inhomogeneity shortage, by modifying the objective function with compensating its immediate neighborhood effect using Gaussian smooth method for decreasing the influence of the inhomogeneity and increasing the segmenting accuracy. With simulate image and the clinical MRI data, the experiments shown that our proposed algorithm is effective.
  • 关键词:FCM Cluster; Brain MRI; Image segmentation; Whiter matter.
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