黑白棋盘格角点检测算法

Black and White X-Corner Detection Algorithm

分析了现有棋盘格角点检测算法存在的不足,提出了一种新的棋盘格角点检测算法.该算法定义4个特征方向,并通过黑白检测算子(BW)检测特征方向上像素的灰度分布特征,获得像素级精度的角点坐标位置;再根据局部窗口内响应值的相似度与影响因子对角点坐标加以修正,实现了亚像素级精度的角点坐标定位.该算法对图像的旋转和亮度变换具有鲁棒性.将本方法应用于实际拍摄的棋盘格图像,证明了其对棋盘格角点检测的有效性和实用性.

Analyzes the shortcomings of the present X-comer detection algorithm for B/W squares on chessboard and proposes a new one in which a new BW comer detection operator is used to check out the gray values＇ distribution in 4 characteristic directions as defined. The coordinates of those comers are obtained with the precision at pixel level. The comer coordinates are revised to implement their localization at sub-pixel level in accordance to the similarity and influencing factors indicated in local windows. The algorithm is robust to the rotation and brightness transformation of images, and it has been applied to the X-corner images on real photos and, as a result, its validity and practicability are verified.