Detection and Tracking Algorithm of the Calibration Line and the Groove Line based on vision

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.