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一种实用的基于证据积累的图像曲线粗匹配方法
引用本文:赵训坡,胡占义.一种实用的基于证据积累的图像曲线粗匹配方法[J].计算机学报,2005,28(3):357-367.
作者姓名:赵训坡  胡占义
作者单位:中国科学院自动化研究所,北京,100080
基金项目:国家自然科学基金(60375006),国家“八六三”高技术研究发展计划项目基金(2002AA135110)资助~~
摘    要:该文提出了一种基于证据积累的图像曲线粗匹配方法,比较有效地解决了将图像中提取的一条曲线(较短)与一条参考曲线(较长)相匹配的问题.该方法具有如下特点:(1)通过实验发现曲线上两点之间的直线距离较它们之间的曲线距离对噪声等误差更鲁棒;基于此,在参考曲线上选取可能的匹配曲线段时,利用首尾点的直线距离作为主要匹配标准,大大提高了算法的鲁棒性;(2)将证据积累的思想应用到控制点的匹配上,有效地去除了错误的控制点和不必要进行匹配的曲线段,在提高算法鲁棒性的同时极大地降低了算法的计算复杂度;(3)在传统的Hausdorff距离计算中引入高斯概率统计模型,使其更适合作为实际应用中评价两条曲线匹配程度优劣的一种度量.大量卫星影像及数码相机照片实验证明了该匹配方法的有效性和实用性.

关 键 词:曲线匹配  最小二乘(LS)  证据积累  刚体变换

A Practical Rough Image Curve Matching Method Based on Accumulation of Evidence
ZHAO Xun-Po,HU Zhan-Yi.A Practical Rough Image Curve Matching Method Based on Accumulation of Evidence[J].Chinese Journal of Computers,2005,28(3):357-367.
Authors:ZHAO Xun-Po  HU Zhan-Yi
Abstract:In this paper, an evidence accumulation based image curve matching method is pro posed. The method can efficiently and robustly find the rough location of a usua lly short extracted image curve to a long reference curve. The main characterist ics of the proposed method are: Firstly, experiments show that the distance betw een two curve points is more reliable than the curve length itself to be used as a matching invariant in the presence of noise, hence in the work, the distance from the start point to the end point of the extracted image curve is primarily used for the selection of matching candidates in the reference curve. Secondly, the evidence accumulation concept is introduced in the matching algorithm, which not only significantly eliminates the incorrect matching of control points, but also substantially decreases the proportion of curve segments to be verified fi nally, a time consuming process. As a result, the computational efficiency and r obustness of the proposed method is largely increased; Thirdly, the statistic Ga ussian model is introduced in the classical Hausdorff distance calculation, whic h makes it more fit for the matching of curves with significant partial deformat ions. Extensive experiments with simulated data and images of satellite and digi tal camera show that the proposed curve matching method is practical, efficient and robust.
Keywords:curve matching  least squares  accumulation  of evidence  rigid transformation  
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