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Proceedings Paper

Pipe tread parameters detection based on machine vision
Author(s): Junpeng Fan; Yanlei Li; Hua Fan; Xinzhong Wang
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Paper Abstract

Pipe thread plays an important role in modern industry. Traditional methods of pipe thread detection is inefficient and inexact which cannot fulfill the detection needs of modern production.Based on the actual industrial detection requirements, CCD is applied to detect outline dimension of the pipe thread and digital image processing techniques is applied to the image processing of pipe thread in this paper. According to the characteristics of the pipe thread, The filtering and edge detection algorithms in traditional image processing are optimized to realize the accurate image edge contour extraction. By calculating, the geometrical parameters of the pipe thread is obtained, the experimental results show that the improved method can improve the measurement accuracy compared with the traditional method.

Paper Details

Date Published: 24 July 2018
PDF: 6 pages
Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108271A (24 July 2018); doi: 10.1117/12.2500375
Show Author Affiliations
Junpeng Fan, Qilu Univ. of Technology (China)
Yanlei Li, Qilu Univ. of Technology (China)
Hua Fan, Qilu Univ. of Technology (China)
Xinzhong Wang, Qilu Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10827:
Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)
Yingjie Yu; Chao Zuo; Kemao Qian, Editor(s)

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