基于特征点的图像拼接算法研究与实现

An Image Mosaics Algorithm Based on Feature Points

针对传统的图像拼接算法中存在的误匹配率较高的问题,采用了基于特征点的图像配准算法。在提取特征点阶段,采用了多尺度的Harris特征点提取算法;在特征点匹配阶段,采用的是改进的基于相关窗口的特征点匹配算法,并采用RANSAC算法对特征点匹配对进行提纯;最后采用了最佳缝合线算法消除了拼接效果图中存在的鬼影问题。实验表明该算法有效提高了全景图像生成的效率和准确性。

We choose a new multi-scale Harris corner algorithm to select feature points,then use a robust feature point matching algorithm to determine the image transformation parameters.Third,to solve ghosting and abruptness in stitched images,an algorithm based on dynamic programming is used to find the best seam-line to stitch the images.Experiments show that the above-mentioned algorithms can implement accurate matching of images and eliminate seams and ghosting in stitched images.