基于掩模的畸变棋盘格角点检测与排序

Detection and Sorting of Corners of Mask-based Distorted Checkerboard

针对当前棋盘格角点检测算法对畸变棋盘格角点检测不足的问题,提出了一种基于掩模的畸变棋盘格角点检测与排序的方法。对所采集的畸变棋盘格图像,依次经过预处理,图像降噪,闭操作和Canny边缘检测以明确其在背景中的位置。然后,采用改进的Shi-Tomasi角点检测算法识别并提取棋盘格的所有角点(包括边缘角点),再通过递归排序算法获取棋盘格行列角点的坐标信息。实验仿真结果验证了所提出的方法的有效性,且相比于基于传统的Harris角点检测,Shi-Tomasi角点检测的算法,对具有一定畸变的棋盘格图像角点,具有更优的检测识别能力。

Aiming at the problem that the current checkerboard corner detection algorithm is insufficient to detect the distortion of the checkerboard corners, a mask-based method for detecting and sorting the distortion checkerboard corners is proposed.The acquired distortion checkerboard image is subjected to preprocessing ,image denoising, closed operation and Canny edge detection to determine its position in the background.Then, using the improved Shi-Tomasi corner detection algorithm to identify and extract all the corner points of the checkerboard (including the edge corner points)? and then obtain the coordinate information of the corners of the checkerboard by the recursive sorting algorithm. The experimental results verify the effectiveness of the proposed method, and compared to the traditional Harris corner detection and the Shi-Tomasi corner detection algorithm, it has better detection and recognition ability for the corners of the checkerboard image with certain distortion.