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一种改进的平面方格角点检测方法
引用本文:程骏,贺俊吉.一种改进的平面方格角点检测方法[J].工业控制计算机,2010,23(5):82-83.
作者姓名:程骏  贺俊吉
作者单位:上海海事大学物流工程学院,上海,200135
摘    要:根据平面方格图像的特性,提出了一种改进的边链-中心判据的角点检测算法。该算法综合应用了Canny边缘检测算子和高斯函数作为权值的灰度重心法,能有效地检测出平面方格图像角点的亚像素坐标。该方法对不同光照和不同拍摄角度的平面方格图像有很好的鲁棒性。实验证明,该方法适应性好,角点定位精确。

关 键 词:改进的边链-中心判据  角点检测  灰度重心法  亚像素

An Improved Algorithm for Plane Checker Board Coner Detection
Abstract:According to the characteristic of the plane checker board coner pattems,an algorithm for improved edge-center criterion is proposed in this paper.Conbining the Canny edge examination operator and gray centroid methord whose weight is taken by the gaussian function,this algorithm can detect subpixel coordinates of the plane checker coners effectively.This method has the very good robustness to the different illumination and the images from different shooting angle.It proved that the compatibility is good and the coner localization is precise.
Keywords:improved edge-center criterion  corner detection  gray centroid methord  subpixel
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