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  • 标题:A New Efficient Binarization Method for MRI of Brain Image
  • 本地全文:下载
  • 作者:Sudipta Roy ; Ayan Dey ; Kingshuk Chatterjee
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2012
  • 卷号:3
  • 期号:6
  • 页码:35
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper proposes a new image binarization method that uses a simple standard deviation approach andgives us very good results for MRI of brain images. The problem of binarization of gray MRI images due tothe black background and large intensity variation has been overcome by our proposed method. Thismethod is very useful to extract the objects of interest from an image and, hence, to distinguish theforeground (brain) from the background (black background). The threshold of the image is determined bystandard deviation multiplied by a heuristic value. The paper describes the details including the heuristicvalue used as well as the performance of this method along with some other well known image binarizationmethod.
  • 关键词:Image Binarization; Performance Evaluation Metrics; Reference Image; Threshold Value; MRI of Brain.
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