Abstract
This paper uses machine vision to construct a system that can measure the irregular outer dimensions of small parts, and solves the problem of low efficiency and low precision of outer edge detection in the manufacturing process of small parts. Firstly, the image is subjected to the binarization of the intermediate threshold. Secondly, the Canny operator is used for edge detection. Then, through the morphological gradient processing and the contour picking algorithm, the edge contours are picked up, and the detection and measurement of the tiny irregular outer edges are realized. The measurement accuracy of the system meets the manufacturing requirements of the parts, and the measurement time is effectively shortened, and the wear of the parts directly by the contact of the parts is reduced.
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Li, L., Zhu, C., Shen, Z. (2020). Machine Vision Based Macro Measurement System Detection. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_101
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DOI: https://doi.org/10.1007/978-3-030-43306-2_101
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