一种改进的基于Harris角点的图像拼接方法

Improved Image Mosaic Measure Based on Harris Corner

主要研究了图像拼接的优化问题,针对传统的Harris角点检测算法流程进行了改进。在通过NCC算法对特征点进行匹配的过程中,采用了一种改进的特征点描述方法,减少了常规NCC算法产生的伪匹配点,从而提高了运算的速率。为验证其有效性,该方法被应用于一个图像拼接的实例中,实验结果表明,该算法缩短了图像拼接所消耗的时间,提高了图像拼接的精度和效率,具有良好的实用性。

This paper mainly studies the optimization problem of image mosaic, and improves the traditional Harris corner detection algorithm. In the process of matching the feature points by NCC algorithm, an improved method of feature points is used to reduce the false matching points generated by the conventional NCC algorithm. In order to verify its validity, the method is applied to an image mosaic, the experimental results show that the algorithm reduces the consumption of image mosaic time. This measure can improve the accuracy and efficiency of image mosaic.