Image segmentation and fast scanning method of vision-probe measurement system

Tao Li; Jiwen Cui; He Zhang

doi:10.1117/12.2611427

19 November 2021 Image segmentation and fast scanning method of vision-probe measurement system

Tao Li, Jiwen Cui, He Zhang

Proceedings Volume 12059, Tenth International Symposium on Precision Mechanical Measurements; 120590B (2021) https://doi.org/10.1117/12.2611427
Event: Tenth International Symposium on Precision Mechanical Measurements, 2021, Qingdao, China

Abstract

Aiming at the microporous array structure, a measurement system combining vision and probe which can take into account the measurement accuracy and efficiency is proposed. The acquisition of visual features needs to ensure the accuracy and rapidity. Therefore, for the scanning acquisition of visual features, an image segmentation algorithm based on image gradient and a fast scanning method of part surface area are designed in this paper. The image segmentation algorithm based on image gradient combines the advantages of global binarization and local Binarization in threshold segmentation. Firstly, the local eigenvalues of each pixel are obtained, then the threshold segmentation is carried out according to the eigenvalues, and the region edge features are used to distinguish the non-part region, part surface and micropore feature region; The fast scanning method of part surface area realizes fast scanning through image segmentation results and certain scanning strategies; Using the space engine injection disk to verify, it shows that the region segmentation not only ensures the accuracy, but also ensures the real-time performance of the algorithm; The fast scanning method of part surface can avoid invalid scanning, effectively improve the scanning efficiency, and does not need the operator to provide a priori knowledge.

Citation Download Citation

Tao Li, Jiwen Cui, and He Zhang "Image segmentation and fast scanning method of vision-probe measurement system", Proc. SPIE 12059, Tenth International Symposium on Precision Mechanical Measurements, 120590B (19 November 2021); https://doi.org/10.1117/12.2611427

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