一种用于图像拼接的改进BRISK算法

Improved BRISK algorithm used in image mosaic

为了获得精准的航空拼接图像,本文提出了一种结合BRISK算法与互相关模块匹配算法的新算法。传统的BRISK算法在拼接平移方向上存在较大的误差。针对该问题,首先使用BRISK算法实现尺度和旋转的校正,再引入模块匹配方法完成平移校正,同时在BRISK算法中加入RANSANC算法实现精准拼接。实验结果表明,本文算法是一种运算时间短、精确度高、拼接效果良好的图像拼接方法。

In order to obtain accurate aerial stitching images,a new algorithm combined with Binary Robust Invariant Scalable Keypoints（BRISK）and cross-correlation template matching algorithm is proposed in this thesis.There are some errors in the splicing translational direction on using traditional BRISK algorithm in image mosaic.Aiming at the problem,the BRISK algorithm is firstly used for the scale and rotation correction of the matching images.Then the template matching method is used for the translation correction. Meanwhile,the random sample consensus（RANSANC）algorithm is added to the BRISK algorithm to achieve precise mosaic.The experiment results show that the proposed algorithm has short operation time,high precision,and can achieve good image mosaic results.