Two formulas for the area and centroid computation of a B-spline based closed curve are applied to compute the image target ′ s area and centroid exactly. 根据基于B样条封闭曲线面积与形心公式,准确计算出图像的目标面积与形心;
Next, the distance between point and its centroid of support area was used as feature strength to determine feature points candidate; 然后求得支持区域的质心,以曲线上的点和其相应的支持区域质心之间的距离作为特征响应筛选出候选特征点;
In centroid algorithm, we find the area which covers the unknown node at first. Then we calculate the centroid of this area utilizing and choose the centroid as the location of the unknown node. 质心算法首先确定包含未知节点的区域,然后计算这个区域的质心,并将其作为未知节点的位置。
The thesis integrated use of the target centroid, and moment characteristics of the area as the target characteristics, effectively described the target, and gives the matching algorithm based on the European-style distance. 给出综合使用目标质心、面积以及矩特征作为目标特征,有效地对目标进行了描述,并给出了基于欧式距离的目标匹配算法。