为实现快速鲁棒的同名像点匹配,基于概率统计特征,提出一种针对CCD影像进行快速匹配的方法。首先应用统计方法建立月表整体形状模型和特征形状模型并构建轮廓特征;然后提取轮廓上的关键点作为特征点,随机选择若干特征点对得到候选变换;最后对其变换参数进行检验和求精。实验结果表明,本文算法比传统匹配算法的速度有了较大的提高,能够在线性时间内完成三线阵CCD影像中同名像点的匹配。
A probabilistic approach is presented for fast CCD image matching. Firstly, the lunar contour feature is constructed based on lunar component models and a full shape model. Secondly, the critical points of the contours are extracted as feature points and then a subset of feature points are randomly selected to instantiate a candidate transform,followed by a process of validating and refining the transform parameters. Experiment results show that the approach can match two images in linear time, which is about one order of magnitude faster than the traditional method.