Poster + Paper
13 December 2020 A new metrology method for optical fiber position detection
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Conference Poster
Abstract
The entire system of the LAMOST ((Large Sky Area Multi-Object Fiber Spectroscopic Telescope) requires high positioning accuracy of the fiber positioning unit. In order to acquire accurately target celestial objects, fiber view metrology system for positioners can efficiently and accurately detect thousands of fiber spots simultaneously in a large scale is required. The traditional method mainly used the "back-illumination method" for detection. With the advent of 8k*6k high-resolution CMOS cameras, fiber position detection based on the "front-illumination method" becomes feasible. This paper mainly studies the fiber position detection based on the "front-end illumination image processing method". The image is preprocessed first, and then the edge detection of a large number of fiber target points in the image is performed. Considering the constant radius of the white ceramic head where the fiber is located, the article proposes a "front-illuminated" image algorithm based on radius-based Hough space conversion and optimal radius error center search. This algorithm improves the speed and accuracy of fiber pixel coordinate detection. At the same time, it can be coordinated and compared with the "back-illuminated method" to further optimize and improve the detection accuracy of the fiber position.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengtao Li, Jiale Zuo, Shipeng Duan, Zhigang Liu, Hongzhuan Hu, Jianping Wang, Jiaru Chu, and Zengxiang Zhou "A new metrology method for optical fiber position detection", Proc. SPIE 11445, Ground-based and Airborne Telescopes VIII, 1144547 (13 December 2020); https://doi.org/10.1117/12.2561056
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KEYWORDS
Optical fibers

Ceramics

Head

Metrology

Target detection

CMOS cameras

Control systems

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