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Abstract
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Article Information:
Detection and Tracking Algorithm of the Calibration Line and the Groove Line based on vision
Li Sha sha
Corresponding Author: Li Sha sha
Submitted: March 23, 2012
Accepted: April 08, 2012
Published: September 01, 2012 |
Abstract:
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A new detection and tracking algorithm of the calibration line and the groove line for automatic
calibration cutting system was advanced. The algorithm utilizes the generalized curve parameter model, which
can describe both straight and curved line. The most prominent contribution of the detection algorithm lies in
that: both the Adaptive Random Hough Transformation (ARHT) algorithm and the Tabu search algorithm are
used to calculate the different parameters in the model according to different demands of accuracy for different
parameters. Furthermore, a multi-resolution strategy is proposed to reduce the time-consumption of the whole
system. At last, this paper also presents a tracking algorithm based on the particle filter to improve the stability
of the whole system. Extensive experiments in variable occasions are implemented to prove the approach to
be both robust and fast, besides, the algorithms can extract the calibration line and the groove line accurately
even under unsatisfactory illumination situations.
Key words: detection algorithm, ARHT, Tabu search, particle filter, tracking algorithm, ,
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Cite this Reference:
Li Sha sha, . Detection and Tracking Algorithm of the Calibration Line and the Groove Line based on vision. Research Journal of Applied Sciences, Engineering and Technology, (17): 3137-3143.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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