松弛匹配方法是一种重要的图象匹配方法。
Relaxation method is an important image shape matching method.
本文提出的松弛匹配方法还可应用于识别重叠景物，结果优于一般的松弛匹配方法。
Experimental results show that the relaxation process has been improved. The method can also be used in over lapped object rec...
研究了在已知最大定位误差的情况下时，如何对基本点特征松弛匹配算法进行改进，以提高匹配性能。
When the error bound of location deviation is known, the original point pattern relaxation matching algorithm is improved to obtain better matching performance.
研究了有效特征区域的松弛检测方法，对基于模糊熵差的景象匹配算法进行相应后处理，提高了匹配性能。
The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.
在角点匹配过程中，采取了松弛算法来提高匹配精度，达到了好的配准效果。
In this image registration method, with the help of relaxation algorithm, matching precision is improved.
用概率松弛标签算法优化和确认匹配，进而得出对位所需的变换参数。
The Probabilistic Reaxation Labeling (PRL) technique is applied tO optimize and determine the matching relations so that the registration transform parameters could be obtained.
本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。
This paper presents an algorithm of point correspondence in which the spectral theory, partial characteristics of points and the method of probabilistic relaxation are combined.
文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。
A novel algorithm for point correspondence is proposed, which combines graph spectral analysis and partial characteristics of the point together via the method of probabilistic relaxation.
文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。
A novel algorithm for point correspondence is proposed, which combines graph spectral analysis and partial characteristics of the point together via the method of probabilistic relaxation.
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