Steel pipe counting system based on image recognition

Yuxin Jia; Jie Xu; Qujiang Lei; Xiuhao Li; Guangchao Gui; Weijun Wang

doi:10.1117/12.2587555

4 January 2021 Steel pipe counting system based on image recognition

Yuxin Jia, Jie Xu, Qujiang Lei, Xiuhao Li, Guangchao Gui, Weijun Wang

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116051O (2021) https://doi.org/10.1117/12.2587555
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

Traditional steel pipe counting can only be performed manually, which has the problems of large workload, error prone 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.

Citation Download Citation

Yuxin Jia, Jie Xu, Qujiang Lei, Xiuhao Li, Guangchao Gui, and Weijun Wang "Steel pipe counting system based on image recognition", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116051O (4 January 2021); https://doi.org/10.1117/12.2587555

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