Detection of Belt Longitudinal Rip based on Canny Operator

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Zhang, Chuanwei^1 ; Zhang, Junnan^1

College of Mechanical Engineering, Xi'An University of Science and Technology, Xi'an, Shanxi, China^1

关键词: Canny Operators;    Detection effect;    Edge detection algorithms;    Fault diagnosis technology;    Laplacian operator;    PYTHON language;    Python programming;    Visual-processing;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/2/022002/pdf
DOI  :  10.1088/1755-1315/252/2/022002

来源: IOP

【 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.