一种改进的SUSAN算子棋盘格角点亚像素检测算法  

Sub-pixel Corner Detection Algorithm of Chessboard Image Based on Improved SUSAN Operator

作　　者：王瑞[1] 杨润泽[1] 尹晓春[1] 罗志海[1,2] 

机构地区：[1]军械工程学院机械制造教研室 [2]中国人民解放军66077部队

出　　处：《计算机与现代化》2012年第1期64-66,共3页Computer and Modernization

基　　金：军械工程学院基础部科学研究基金资助项目(JCB1011)

摘　　要：SUSAN算子在检测角点时,只以USAN区域面积的大小作为判断准则,忽略USAN区域形状的影响。因此,该算法对棋盘格标定板中的内角点与边缘点难以区分。针对此问题,本文提出在SUSAN圆模板内再次采用SUSAN算子来实现对棋盘格标定板角点的有效检测。此外,在每个初定位角点的局部邻域内,采用二次曲面拟合法得到角点的亚像素坐标。实验证明,所提出的算法准确、有效、适应性好,能为摄像机标定提供亚像素精度的角点信息。One of the disadvantages of the SUSAN operator is that it just takes into account USAN＇ s size without considering USAN＇ s shape in detecting feature points. It＇ s difficult to distinguish the chessboard comers and edge points for the SUSAN algorithm. Therefore another SUSAN circular mask is added within the SUSAN circular mask to overcome this defect. Moreover, subpixel coordinates comers are calculated with quadric surface fitting. Experimental resulths show that the proposed algorithm has high precision and can provide reliable data for high-precision camera calibration.

关 键 词：棋盘格 SUSAN算子 角点检测 亚像素 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]