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  • 标题:Nosing out Defects on the surface of a Steel Product in Manufacturing industries: Result Oriented
  • 本地全文:下载
  • 作者:Shweta A. Kumar ; Dr.Sujata S. Agrawal
  • 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:2015
  • 卷号:4
  • 期号:7
  • 页码:5379
  • DOI:10.15680/IJIRSET.2015.0407045
  • 出版社:S&S Publications
  • 摘要:Emanating are new methodologies in the domain of image processing, especially when it comesconcerned with identification of many types of defects on surfaces of steel products. Manual practices yield indifficulties, time consumption and inaccuracy. Hence there is definite need of automation in this field. This paper ishighlights the results obtained after processing of the proposed methodology.
  • 关键词:GLCM; Probabilistic neural network; Co-occurrence feature.
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