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Precise Z-Block positioning and dimension measurement using improved Canny edge detection and sub-pixel contour fitting

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Abstract

Z-Block-type optical combining device based on Lan-WDM technology are widely used in the transmitter end of optical communication in data centers, and with the wide range of applications, higher requirements are put forward for their production efficiency and dimensional accuracy. In order to solve the problems of low efficiency, susceptibility to human factor interference and low measurement accuracy in the traditional manual method of sorting and dimensioning measurement in the Z-Block production process, this study proposes a Z-Block centroid positioning and dimensioning scheme based on a machine vision method. Firstly, the Z-Block visual automatic sorting and dimensioning measurement system scheme and optical imaging scheme were designed to achieve high-quality imaging of Z-Block. Then, according to the problems of image edge noise, poor contrast, and weak edge caused by the complex production environment in the process of Z-Block visual imaging, an improved Canny edge detection algorithm was proposed, which used Blob analysis for denoising and ROI positioning, optimized gradient strength and direction calculation method and local dynamic threshold selection method, and realized high-accuracy edge detection. Finally, in order to solve the problems of inaccurate measurement point division and unsmooth overall contour in the edge detection results, a contour fitting method based on sub-pixel accuracy was proposed to achieve high-precision dimensional measurement. Experimental results show that the proposed method, on the basis of high-accuracy edge detection and high-precision contour fitting method, achieves the average error of center point positioning of (5, 5) pixel, the average error of dimensional measurement (0.03, 0.03) mm, and the average execution time of the algorithm is 143.34 ms, which can meet the automatic production of Z-Block.

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Acknowledgements

This work was supported by the Natural Science Research Project of Anhui Provincial Universities (2023AH051663), the University-level Scientific Research Project of Tongling University (2023TLXY11), Outstanding Young Teachers Cultivation Key Project (YQZD2024044), and the Industry-University-Research Horizontal Research Project (2023TLXYXDZ019).

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Authors and Affiliations

  1. School of Mechanical Engineering, Tongling University, 1335 Cuihu 4th Road, Tongling City, 244061, Anhui Province, China

    Jie Xiong, Dongsheng Wang, Jian Yin & Runfang Wu

  2. Key Laboratory of Construction Hydraulic Robots of Anhui Higher Education Institutes, Tongling University, Tongling, 244061, China

    Jie Xiong, Dongsheng Wang, Jian Yin & Runfang Wu

  3. Advanced Copper-Based Material Industry Generic Technology Research Center of Anhui Province, Tongling, 244061, China

    Jie Xiong, Dongsheng Wang, Jian Yin & Runfang Wu

  4. Key Laboratory of Additive Manufacturing of Tongling City, Tongling, 244061, China

    Jie Xiong & Dongsheng Wang

  5. Anhui Joint Key Laboratory of Critical Technologies for High-End Copper-Based New Materials, Tongling, 244061, China

    Jie Xiong & Dongsheng Wang

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  1. Jie Xiong
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Contributions

J.X.Ideas, presented creation of models, most algorithm simulations, Writing-original draft, software, Z-Block sample surface characterization, optical imaging scheme design and experiments. D.S.W. performed formulation or evolution of overarching research goals and aims, provision of study materials, reviewing and editing. J.Y. did program architecture design, modeling and data validation. R.F.W.conducted optical imaging experiments.

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Correspondence to Jie Xiong.

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Xiong, J., Wang, D., Yin, J. et al. Precise Z-Block positioning and dimension measurement using improved Canny edge detection and sub-pixel contour fitting. J Supercomput 81, 230 (2025). https://doi.org/10.1007/s11227-024-06769-4

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