Fast Identification of Stacked Steel Pipes based on Improved NCC Algorithm
Chuanzhu Sun, Mingjie Yao, Chaoxing Fu · 2023
In order to solve the problem that the rotation-invariant NCC algorithm has a large number of operations in each pyramid layer in the matching of rotating targets, this paper proposes a method to accelerate the algorithm by combining Hough transform with pyramid layering strategy. In the coarse matching stage at the top of the pyramid, Hough transform was introduced to detect the straight line in the search image to calculate the angle of the steel pipe, so as to set the angle constraint. This method omits the selection of rotation step size in the top layer of the pyramid and the subsequent estimation of rotation angle, which can improve the matching speed of the algorithm and the real-time performance of stacked steel pipe detection. The experimental results showed that this improved template matching algorithm can improve the recognition speed of stacked steel pipes with a high accuracy rate. This research has certain theoretical significance and application value for improving the visual recognition and positioning speed of stacked steel pipes.