Abstract
For the center aperture and outer diameter of circular saw blades, most of them rely on caliper detection, which is inefficient and easy to produce errors. In this paper, the Hough circle detection algorithm is improved, and the detection efficiency of the algorithm is improved by dividing four edge zones and randomly selecting candidate points from three edge regions, which reduces the number of samplings points and improves the detection efficiency of the algorithm. The improved Hough circle detection algorithm is used to detect the center aperture and outer diameter of the circular saw blade, which greatly reduces the inspection time. Experiments show that the detection method has the advantages of high measurement accuracy and fast detection speed and has a wide application prospect in the measurement of geometric parameters of circular saw blades, and is suitable for the parameter measurement of disc parts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao, L., Liu, Q., Dai, W.: Measurement of geometric parameters of circular saw blade. Infrared Laser Eng. 39(6), 1115–1119 (2010)
Jiao, B., Liu, G., Zhao, M.: Sub-pixel precision flange size measurement method based on machine vision. Mod. Manuf. Eng. 7, 121–126 (2022)
Zou, Z., Zeng, W.: Machine vision-based caliper tool method bearing precision measurement. Mach. Tool Hydr. 51(02), 53–88 (2023)
Li, Z., Yan, K., Fu, Q., et al.: Size measurement of metal workpiece based on machine vision. Instr. Technol. Sens. 03, 92–97 (2022)
Tu, D., Liu, K., Zhu, Y.: Research on online detection method of steel pipe wall thickness based on machine vision. Comput. Eng. Appl. 58(16), 249–256 (2022)
Liu, W., Yang, X.: A novel industrial chip parameters identification method based on cascaded region segmentation for surface mount equipment. IEEE Trans. Ind. Electr. 69(5), 5247–5256 (2022)
He, W., Zhang, A., Wang, P.: Weld cross-section profile fitting and geometric dimension measurement method based on machine vision. Appl. Sci. Base 13(7), 4455–4464 (2023)
Cao, B., Li, J., Liang, Y.: Real-time detection of nickel plated punched steel strip parameters based on improved circle fitting algorithm. Electronics 12(8), 1865–1875 (2023)
Lin, E.-Y., Tu, C.-T., Lien, J.J.J.: Nut geometry inspection using improved hough line and circle methods. Sensors 23(8), 3961–3975 (2023)
Lan, X., Deng, H., Li, Y.: A fast circle detection algorithm based on circular arc feature screening. Symmetry 15(3), 734–752 (2023)
Acknowledgements
This study was supported by Natural Science Foundation of Shandong Province (ZR2020QE016), National Natural Science Foundation of China (No. 52105554). The authors are grateful to the editors and anonymous reviewers for their helpful comments and constructive suggestions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Li, S., Wang, Y., Wang, Q., Bai, S., Li, J. (2024). Machine Vision-Based Measurement of Inner and Outer Diameter Parameters of Circular Saw Blades. In: Ball, A.D., Ouyang, H., Sinha, J.K., Wang, Z. (eds) Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023). TEPEN IncoME-V DAMAS 2023 2023 2023. Mechanisms and Machine Science, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-031-49413-0_90
Download citation
DOI: https://doi.org/10.1007/978-3-031-49413-0_90
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-49412-3
Online ISBN: 978-3-031-49413-0
eBook Packages: EngineeringEngineering (R0)