基于分块-空间聚类的图像配准算法

Image registration algorithm based on blocking-spatial clustering

模板匹配算法应用广泛,但不能判断配准结果是否正确,也无法比较不同像对配准结果的准确程度。提出无变形、无旋转情况下分块-空间聚类的图像配准算法,将基准图分块在参考图上配准从而获得基准图的多个配准位置,并对这些位置进行空间聚类从而计算基准图的最后配准位置,并评估配准质量。试验表明该算法配准准确度高,能够正确评估配准质量并比较不同像对配准结果的准确程度。

While widely used, algorithm of template matching can neither judge correctness of the result nor compare accuracy of registration results of different pairs of images.lmage registration algorithm based on blocking-spatial clustering is presented while images have no distortion or rotation,in which the standard image is divided into several sub-blocks to register with the refer- ence image,positions of standard image from sub-blocks are clustered to get the final registration position and the registration quality is evaluated.Experiments show that the algorithm not only features high accuracy but also can evaluate the registration quality correctly and compare accuracy of the different registration results.