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Review of Edge Detection Methods for Reflective Metal Surfaces of Workpieces

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Advanced Manufacturing and Automation XIII (IWAMA 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1154))

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Abstract

Aiming at the problem of inaccurate edge detection caused by reflection on workpiece metal surface, a method of eliminating metal reflection area in image was proposed to deal with the reflection area. Then the image is optimized by particle swarm optimization adaptive edge detection to improve the speed and accuracy of edge detection results.

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References

  1. Tang, Z.: Defect detection of sheet metal parts based on machine vision, no. (09), pp. 1–6. Hunan University (2021)

    Google Scholar 

  2. Forbus, K.: Light source effects. Technical report. AI Memo AIM-422, Massachusetts Institute of Technology (1977)

    Google Scholar 

  3. Brelstaff, G., Blake, A.: Detecting specular reflections using Lambertian constraints. In: Proceedings of the 2nd International Conference on Computer Vision, pp. 297–302 (1988)

    Google Scholar 

  4. Gershon, R., Jepson, A.D., Tsotsos, J.K.: The use of color in highlight identification. In: Proceedings of the 10th International Joint Conference on Artificial Intelligence, vol. 2, pp. 752–754 (1987)

    Google Scholar 

  5. Klinker, G., Shafer, S., Kanade, T.: Using a color reflection model to separate highlights from object color. In: Proceedings of the 1st International Conference on Computer Vision, pp. 145–150 (1987)

    Google Scholar 

  6. Arnold, M., Ghosh, A., Ameling, S., Lacey, G.: Automatic segmentation and inpainting of specular highlights for endoscopic imaging. EURASIP J. Image Video Process. 2010, 2–3 (2010)

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Correspondence to Yuanqi Wang .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, Y., Wang, C. (2024). Review of Edge Detection Methods for Reflective Metal Surfaces of Workpieces. In: Wang, Y., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XIII. IWAMA 2023. Lecture Notes in Electrical Engineering, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-97-0665-5_10

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