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Proceedings Paper

Screw thread parameter measurement system based on image processing method
Author(s): Zhimin Rao; Kanggao Huang; Jiandong Mao; Yaya Zhang; Fan Zhang
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Paper Abstract

In the industrial production, as an important transmission part, the screw thread is applied extensively in many automation equipments. The traditional measurement methods of screw thread parameter, including integrated test methods of multiparameters and the single parameter measurement method, belong to contact measurement method. In practical the contact measurement exists some disadvantages, such as relatively high time cost, introducing easily human error and causing thread damage. In this paper, as a new kind of real-time and non-contact measurement method, a screw thread parameter measurement system based on image processing method is developed to accurately measure the outside diameter, inside diameter, pitch diameter, pitch, thread height and other parameters of screw thread. In the system the industrial camera is employed to acquire the image of screw thread, some image processing methods are used to obtain the image profile of screw thread and a mathematics model is established to compute the parameters. The C++Builder 6.0 is employed as the software development platform to realize the image process and computation of screw thread parameters. For verifying the feasibility of the measurement system, some experiments were carried out and the measurement errors were analyzed. The experiment results show the image measurement system satisfies the measurement requirements and suitable for real-time detection of screw thread parameters mentioned above. Comparing with the traditional methods the system based on image processing method has some advantages, such as, non-contact, easy operation, high measuring accuracy, no work piece damage, fast error analysis and so on. In the industrial production, this measurement system can provide an important reference value for development of similar parameter measurement system.

Paper Details

Date Published: 23 August 2013
PDF: 6 pages
Proc. SPIE 8911, International Symposium on Photoelectronic Detection and Imaging 2013: Micro/Nano Optical Imaging Technologies and Applications, 891109 (23 August 2013); doi: 10.1117/12.2033063
Show Author Affiliations
Zhimin Rao, Beifang Univ. of Nationalities (China)
Kanggao Huang, Beifang Univ. of Nationalities (China)
Jiandong Mao, Beifang Univ. of Nationalities (China)
Yaya Zhang, Beifang Univ. of Nationalities (China)
Fan Zhang, Beifang Univ. of Nationalities (China)


Published in SPIE Proceedings Vol. 8911:
International Symposium on Photoelectronic Detection and Imaging 2013: Micro/Nano Optical Imaging Technologies and Applications
Min Gu; Xiaocong Yuan; Min Qiu, Editor(s)

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