中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Steel pipe counting system based on image recognition
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Steel pipe counting system based on image recognition
Yuxin Jia; Jie Xu; Qujiang Lei; Xiuhao Li; Guangchao Gui; Weijun Wang
2020
Conference Name2020 The 13th International Conference on Machine Vision(ICMV 2020)
Conference Date2020
Conference Place罗马
AbstractTraditional steel pipe counting can only be performed manually, which has the problems of large workload, errorprone and low efficiency. This paper proposes a steel pipe counting system based on image recognition. First of all, the steel pipe image is collected from the camera, and then the digital image processing technology is used to perform image enhancement, edge detection and morphological operation and other preprocessing, then the steel pipe is identified and counted by the Hough circle transformation, and finally the steel pipe automatic is developed using VC++ software Technical software. Experiments show that the automatic counting accuracy and efficiency of steel pipes in this system are high.
Department南沙所-机器人中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/18353
Collection南沙所
Recommended Citation
GB/T 7714
Yuxin Jia,Jie Xu,Qujiang Lei,et al. Steel pipe counting system based on image recognition[C],2020.
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