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  • 标题:Comparative Analysis of Different Filters for Denoising In Medical Image Segmentation
  • 本地全文:下载
  • 作者:MANOJ KUMAR V ; REMYA ELIZABETH PHILIP ; ARUN A
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:737
  • 出版社:S&S Publications
  • 摘要:Present medical science very much depends on the medical images and medical imaging technology likeMRI, CT, US, etc. Doctors are using these medical images for the anatomical structure study and for the treatmentplanning. But generally medical images are complex and noisy. This paper discuss about the different filters , whicheliminate noise and unwanted region without any loss of important information in the image. Rank filter, Gaussianfilter, and Sigma filters are general filters using for the de-noising in medical images and these filters are considered forperformance comparison in this paper.
  • 关键词:filter; Image segmentation; de-noising; Rank filter; Gaussian filter; Sigma filter.
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