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  • 标题:Detection of Defects on Steel Surface for using Image Segmentation Techniques
  • 本地全文:下载
  • 作者:S. M. Ramesh ; B. Gomathy ; T.V.P.Sundararajan
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:5
  • 页码:323-322
  • DOI:10.14257/ijsip.2014.7.5.28
  • 出版社:SERSC
  • 摘要:An online surface inspection system m of hot rolled strips is introduced. This system is designed t o detect such main Surface defects on hot rolled strips as scar, scratches, pits, water drops Cracks. Cross hatchings, and so on. Multiple CCD area scan cameras are adopted to capture images of strip surface simultaneously, and all the images are processed by parallel computation system Real-time, which is supported by fast image process techniques and parallel computation techniques, in order to snap main defect regions on the surface of strips. At last, the defects will be classified to several types. The application of the system to practical production line shows that it can detect main defects of hot rolled strips more effectively than traditional method, and it is easily to be maintained.
  • 关键词:Digital image processing; Image segmentation techniques; Homogeneity; ; Region based system
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