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  • 标题:Noise reduction on mammographic phantom images
  • 本地全文:下载
  • 作者:Mouloud Adel ; Daniel Zuwala ; Monique Rasigni
  • 期刊名称:ELCVIA: electronic letters on computer vision and image analysis
  • 印刷版ISSN:1577-5097
  • 出版年度:2006
  • 卷号:5
  • 期号:4
  • 页码:64-74
  • 出版社:Centre de Visió per Computador
  • 摘要:A noise reduction scheme on digitized mammographic phantom images is presented. This algorithm is based on a direct contrast modification method with an optimal function, obtained by using the mean squared error as a criterion. Computer simulated images containing objects similar to those observed in the phantom are built to evaluate the performance of the algorithm. Noise reduction results obtained on both simulated and real phantom images show that the developed method may be considered as a good pre-processing step from the point of view of automating phantom film evaluation by means of image processing. keywords: noise reduction, contrast modification
  • 关键词:noise reduction;contrast modification
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