摘要
针对小型物体高精度量测的要求,提出一种结合精确单点定位方法和基于分裂的最小距离误差线段逼近法的高精度轮廓直线特征提取算法。通过利用直线特征精确逼近目标的轮廓,搜索相邻直线段并计算交点,从而实现轮廓分割点的精确定位,进而为基于轮廓的三维量测与重建提供高精度的直线特征数据。与其他方法(如最小二乘模板匹配、抛物线拟合等)相比,本文的算法对轮廓初始值的要求较低,同时能够获得更好的精度。
A high-accurate extraction algorithm of line features of object contour is proposed in this paper,which combines the method of exact positioning of single point and the algorithm of line segment approximation with minimum-distance error.First object contour can be approximated exactly by linear feature.Then we search the adjacent line segment and compute the intersection point between them.At last,we realized the exact positioning of contour feature point and provided exact line segment data for 3D measuring and reconstruction based on contour.In contrast to other approaches（such as least squares template matching and parabola fitting methods）,the algorithm proposed in this paper has not need good initial value of contour and can get better extraction result.An example is performed to verify the viewpoint.
出处
《测绘学报》
EI
CSCD
北大核心
2011年第1期66-70,83,共6页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(40771177
41071233
41071293)
关键词
轮廓特征提取
线扩散函数
单点定位
链码分割
直线精确定位
contour feature extraction
line diffusion function
single-point position
chain code partition
precise position of line
