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文章基本信息

  • 标题:Classifying Skin Moles Using Image Processing Algorithms
  • 本地全文:下载
  • 作者:Adriana Stratulat-Diaconu ; Dunarea de Jos"
  • 期刊名称:Annals of “Dunarea de Jos”
  • 印刷版ISSN:1221-454X
  • 出版年度:2019
  • 卷号:42
  • 期号:1
  • 页码:10-14
  • DOI:10.35219/eeaci.2019.1.02
  • 出版社:“Dunarea de Jos” University of Galati
  • 摘要:Image processing is an essential field applied in a lot of applications, as medical imaging, astronomy, video, image compression and transmission, and so on. In this paper was proceeded grayscale image converted from RGB (red, green, blue) system. Mathematical morphology in image processing is applied on binary images so that is very important to chosen the adequate binary threshold. Both, mean and standard deviation can determine the optimum binary threshold. The mathematical morphology and optimum binary threshold can be used with success in order to study skin lesion.
  • 关键词:image processing; mathematical morphology; binary threshold.
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