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  • 标题:Detection of Belt Longitudinal Rip based on Canny Operator
  • 本地全文:下载
  • 作者:Chuanwei Zhang ; Junnan Zhang
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:252
  • 期号:2
  • 页码:1-6
  • DOI:10.1088/1755-1315/252/2/022002
  • 出版社:IOP Publishing
  • 摘要:The longitudinal rip of belt conveyor often causes coal mine in a stoppage of production, and the fault diagnosis technology of visual processing is adopted. Because of a large amount of dust, most visual processing algorithms are often out of work. In this paper, the edge detection algorithms including Canny operator, Sobel operator and laplacian operator are compared, meanwhile, the python language is applied in image processing, the Canny operator of python programming is simulated and verified. Finally, the canny operator is proved to have good detection effect.
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