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Proceedings Paper

Acquisition and extraction of embedded steel billet character based on structured light
Author(s): Xiuhua Zhang; Qing Zhong; Hanyu Hong
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Paper Abstract

Embedded steel billet character is low contrast. The uneven illumination distribution and oxidation would affect embedded character detection in images correctly. A novel method based on structured light for embedded character acquisition and extraction is proposed. First the embedded character is irradiated by structured light, embedded character would bend the structured light. The processing algorithm based on Fourier transform, picks up the carrier wave from the reflected image. The reflected image is demodulated and filtered to extract the embedded character. Experimental results show that the algorithm is conciseness and effective. The algorithm has the integrity, is not easy to be interfered by noise. The proposed method has reliability and application.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130P (14 December 2015); doi: 10.1117/12.2204734
Show Author Affiliations
Xiuhua Zhang, Wuhan Institute of Technology (China)
Qing Zhong, Wuhan Institute of Technology (China)
Hanyu Hong, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 9813:
MIPPR 2015: Pattern Recognition and Computer Vision
Tianxu Zhang; Jianguo Liu, Editor(s)

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