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Proceedings Paper

Synchronous acquisition method based on feature recognition of sequence images in online vision inspection
Author(s): Xin Jiang; Hua Li; Jie Liu
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Paper Abstract

In order to meet the requirements of synchronous image acquisition in online industrial vision inspection, a new method based on image feature recognition is proposed. According to the method, the spatial characteristic information of sequence images has been calculated, and an algorithm under multi-constrained conditions which based on the trend of feature values of sequence images is established. The synchronous target image in online inspection is acquired by the trigger signal which was obtained by the algorithm under the condition of no dependence on external attachment. The method does not need to rely on the external position feedback device, and reduces the hardware cost. The algorithm has a better synchronization precision and adaptability, and has been successfully applied in practice.

Paper Details

Date Published: 28 February 2017
PDF: 5 pages
Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 1025630 (28 February 2017); doi: 10.1117/12.2257657
Show Author Affiliations
Xin Jiang, Univ. of Chinese Academy of Sciences (China)
Xi'an Institute of Optics and Precision Mechanics (China)
Hua Li, Xi'an Institute of Optics and Precision Mechanics (China)
Jie Liu, Univ. of Chinese Academy of Sciences (China)
Xi’an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 10256:
Second International Conference on Photonics and Optical Engineering
Chunmin Zhang; Anand Asundi, Editor(s)

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