Detection Method of Optical Fiber Connector Internal Parts Based on Machine Vision

Bao Hua Shi; Ya Hui Wei

doi:10.4028/www.scientific.net/AMM.568-570.483

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Detection Method of Optical Fiber Connector...

Detection Method of Optical Fiber Connector Internal Parts Based on Machine Vision

Abstract:

Technology of machine vision is used to measure the inside and outside diameter and concentricity of the optical fiber connector internal parts without contact. The image is got by million-pixel industrial camera. Then the image gets pretreatment, such as, grayscale transformation, binarization, smoothing, etc. Appropriate detection threshold is found by the image analysis. The edge of parts is found by the circular probe method. Inside and outside diameter and concentricity of parts are obtained by using the edge of the data through the least squares method. Experiment of 6.4 mm diameter parts, absolute error is less than one pixel. The largest error is less than 0.05 mm compared with the manual measurements and can meet the measurement requirements.

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Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

483-488

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.483

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Online since:

June 2014

Authors:

Bao Hua Shi, Ya Hui Wei*

Keywords:

Digital Image Processing, Machine Vision, Parts Detection

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* - Corresponding Author

References

[1] Wei Li, Huiwen Shi. Introduction to improve fiber connection quality, and the measures to reduce the loss of fiber connection. Railway construction enterprise management, 2003, 03: 32-33. In Chinese.

Google Scholar

[2] Yingnan Zhang. Optical fiber connector performance is analysed. Journal of liaoning institute of science and technology, 2005, 7(1): 33-34. In Chinese.

Google Scholar

[3] Xianzhi Hu, Shaohua Yu. The basic theory of optical fiber communication and technology. Wuhan: huazhong university of science and technology press, 2008, 7-9. In Chinese.

Google Scholar

[4] Yandan Zhu, Junbi Liao, Ziniu He. The calibration of the machine vision system based on LabVIEW. China Measurement & Test. 2009, 35(6): 54-56. In Chinese.

Google Scholar

[5] S.B. Dworkin, T.J. NyeImage processing for machine vision measurement of hot formed parts [J]. Journal of Materials Processing Technology, 2006, 1-6.

Google Scholar

[6] Yan Wang, Subin Lin, Xiren Miao. The application of machine vision in glass defect detection based on LabVIEW. 2011, 24(4): 75-77. In Chinese.

Google Scholar

[7] Kewen Liu, Ping Zhou, Binbin Fu. Measurement of circular ring parts'form and position size base on machine vision. Industrial control computer, 2010, 23(7): 1-3. In Chinese.

Google Scholar