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文章基本信息

  • 标题:Edge Detection in Brain Images
  • 本地全文:下载
  • 作者:Samir Kumar Bandyopadhyay
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:2
  • 页码:884-887
  • 出版社:TechScience Publications
  • 摘要:In this paper problem of edge detection in digital images is considered. Particular attention is paid to brain magnetic resonance images. The new approach to edge detection is introduced. Results of proposed method are presented and compared with traditional approach. In this work, a new contour detection method is studied for detecting brain tumor regions based on their gradient magnitude information. Gradient magnitude data, an edge detection method, is generated from the brain slice image intensity or perceived brightness information. Contour map of the brain tumor is generated by using the gradient magnitude differences of the template masks (cropped from brain slice tumor image) and the sample masks (traverses the image) raw pixel and perceived brightness (luminance) date. Then these differences are averaged and normalized to produce edge profiles of the brain tumor region contours. This data is used by the remote surgical devices for removing the tumor area.
  • 关键词:Perceived brightness (luminance); gradient;magnitude; contour profiling; and edge detection
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