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A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity

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Abstract

Machine vision measurement is an ideal method for real-time non-contact measurement of hot forgings, where image segmentation is the most important issue in extracting contours and effective areas. However, existing image segmentation methods have limitations of poor performance or complex algorithms with high computational costs, thus are not suitable for real-time processing of hot forging images in industrial processing. This paper proposes an efficient and robust passive visual image segmentation approach by extracting edges of forging images based on discrete grayscale surface continuity, by which experiments on forging positioning and dimension measurement are conducted to prove the performance and feasibility of the image segmentation approach. In this paper, three types of edges by the geometric continuity of the equivalent grayscale surface for forging images are proposed, so that segmentation can be realized by extracting feature edges directly, or combined with the Snakes model. Continuity edges directly related to the geometric characteristics of grayscale surface for forging images, the extracted primary and secondary edges, subsequently the edge-based segmentation approach, can be identified as suitable and stable for forgings with different thermal radiations and dimensions. The experimental results show that the proposed image segmentation approach based on continuity edges works well for segmenting forging images of different temperatures and dimensions, which provides good results in real-time dimension and positioning measurement experiments for hot forging.

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Funding

This work was supported in part by the Liaoning Technology Research Project of ‘Jiebang Guashuai’—Development and application of intelligent main bearing for large MW offshore wind power (No. 2021JH1/10400099). Delun WANG has received research support from the research project.

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Authors and Affiliations

  1. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, China

    Xiaoyu Pan & Delun Wang

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  1. Xiaoyu Pan
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  2. Delun Wang
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Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Xiaoyu PAN and Delun WANG. The first draft of the manuscript was written by Xiaoyu PAN and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Delun Wang.

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Pan, X., Wang, D. A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity. Int J Adv Manuf Technol 130, 3031–3052 (2024). https://doi.org/10.1007/s00170-023-12719-w

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