摘要： 针对现有基于灰度级相似的图像拼接方法的缺点,提出了一种图像自动拼接的快速算法。该算法综合考虑了图像拼接的精度和速度,在基准特征块的提取上,采用简单的边缘信息阈值法,实现了基准块的自主选取,提高了图像拼接的精度;在块搜索上,采用金字塔式分层搜索策略,提高了图像拼接的速度。实验证明,该算法扩展了传统拼接算法的适用范围,具有较好的性能。

关键词: 图像拼接, 配准, 特征块, 图像融合

Abstract: By analyzing the available disadvantages of the intensity-based image stitching, a fast automatic image stitching algorithm is proposed.This algorithm takes into account the precision of image stitching as well as the speed of it, as to the pick-up of the base feature block, a simplemethod of edge information threshold is used, which realizes the automatic pick-up of base feature block, therefore improves the precision of imagestitching. In the problem of searching matching block, a hierarchical search strategy is employed, which improves the speed of image stitching. Theexperiments show that the proposed algorithm greatly extends the scope of traditional image stitching algorithm and has good capabilities.

中图分类号: 

• TP391.41