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  • 标题:An Efficient Ant Colony Optimization Based Medical Image Enhancement
  • 本地全文:下载
  • 作者:Davinder Kumar ; Satnam Singh ; Vikas Saini
  • 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:2016
  • 卷号:5
  • 期号:8
  • 页码:15053
  • DOI:10.15680/IJIRSET.2016.0508053
  • 出版社:S&S Publications
  • 摘要:Medical imaging have become popular in today’s era. Many doctors and hospitals are now adoptingvisual medical image system to handle their patients in efficient manner. However, the existence of several objectsoverlapping in an image and the close proximity of adjacent pixels values in medical images make the diagnosticprocess a difficult task. In order to overcome the above stated limitations, a new algorithm is proposed which willutilize to ant colony optimization to enhance the results further. Ant colony optimization has ability to find optimisticadjustment factor for better fuzzy based enhancement. Therefore has provided more optimistic results than availablemethods. Also to reduce ringing artifacts further gradient smoothing is used. The main scope of this work is to applyproposed technique for colored medical images.
  • 关键词:Image enhancement; ant colony optimization; medical images; gradient smoothing; color images.
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