Labeled point pattern matching by fuzzy relaxation
Labeled point pattern matching by fuzzy relaxation
复制标题
通过模糊松弛进行标记点模式匹配
DOI：
10.1016/0031-3203(84)90055-4
复制
发表时间：
1984
期刊：
影响因子：
--
通讯作者：
H. Ogawa
中科院分区：
文献类型：
--
作者：
H. Ogawa
本文提出了一种基于模糊松弛的标记点模式匹配方法。该方法适用于因平移、旋转、尺度变化等几何变换而不同的标记点模式。在该方法中，点对被认为是模式基元。在松弛过程中对图案基元进行几何变换，以最小化基元对之间的失配的度量。该方法只需经过几次松弛迭代，就可以建立两个标记点模式之间的相容基元对，并从基元对中得到对应的点。作为例子，该方法被应用到星座的匹配。
A method of matching labeled point patterns is described on the basis of a fuzzy relaxation. The method is applicable to labeled point patterns which differ by geometrical transformations, such as translation, rotation and scale change. In this method, the point pairs are considered to be the pattern primitives. The pattern primitives are geometrically transformed in the process of relaxation so as to minimize a measure of mismatch between the primitive pairs. The compatible primitive pairs between the two labeled point patterns are established after only a few iterations of relaxation and the corresponding points are obtained from the primitive pairs. As an example, the method is applied to the matching of constellations.