Paper
10 November 2022 Research on separation and pairing algorithm of crossed fibers
Yanfeng Tang, Yongtao Zheng
Author Affiliations +
Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314Q (2022) https://doi.org/10.1117/12.2653089
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
When testing the fiber content by microscope, it is necessary to count the number of fibers. At present, manual counting of fiber number is widely used, which is not only time-consuming and laborious, but also has low accuracy. In order to solve this problem, this paper proposes an algorithm of counting the cross fibers by using machine vision technology. Firstly, the collected fiber images are preprocessed in a series, then the fiber skeleton segments are extracted, and the burrs of the fiber skeleton are removed. Then, the fibers are disconnected at the intersection points, and the straight line is fitted with the fiber segments. Then, the slope angle of the fitted straight line, the length of the center point distance in the projection direction of the slope angle, and the distance between two fiber skeleton segments are calculated. Then, the separated fiber segments are paired according to these three characteristics and then counted. Experiments show that this system still has high accuracy in the case of complicated fiber cross overlap.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanfeng Tang and Yongtao Zheng "Research on separation and pairing algorithm of crossed fibers", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314Q (10 November 2022); https://doi.org/10.1117/12.2653089
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KEYWORDS
Optical fibers

Image segmentation

Image processing

Detection and tracking algorithms

Binary data

Image processing algorithms and systems

Microscopes

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