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Proceedings Paper

Research of location method for billet recognition in complex production line scene
Author(s): Hanyu Hong; Zhejun Yu; Xiuhua Zhang
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Paper Abstract

Steel code location is the key point to realize billet detection and recognition in production line scene with complex illumination. However, due to high temperature and complex scene in the rolling line, the steel code location at the end of billet is quite different from optical character location with simple background and vehicle license plate location. In the process of billet detection and recognition, how to determine steel code target location at the end of billet from the complex illumination scene is first necessary in steel intelligent recognition system. In order to solve this problem, a novel method for steel code location is proposed in this paper. First of all, production line scene image is restrained by Mean Shift filtering and iterative segmentation filter, and then candidate character region can be found by clustering character connected domain with same features. At last, the quantitative model is established for candidate region and the statistical decision algorithm can be used to complete screening object region. The experimental results show that the proposed location method is very precise in most different scenes.

Paper Details

Date Published: 5 December 2011
PDF: 8 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050F (5 December 2011); doi: 10.1117/12.903044
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Huazhong Univ. of Science and Technology (China)
Zhejun Yu, Wuhan Institute of Technology (China)
Xiuhua Zhang, Wuhan Institute of Technology (China)

Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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