摘要
利用基于特征点的sift算法与几何不变矩结合实现气象站全景图像的拼接,Sift算法和不变矩结合计算出特征匹配点后,利用RANSAC算法进行特征点剔除误配,从而进一步计算出拼接图像之间的变换关系矩阵H。最终使用加权平滑算法完成了气象站图像的融合,从而得到最后的气象站拼接图像。实验证明,该算法一定程度上提高了图像拼接的效率。
Using the sift algorithm based on feature point and geometric invariant moments to realize the stitching of the panora-mic image of the weather station.The Sift algorithm and the invariant moments were used to calculate the feature matching point, The RANSAC algorithm was used to eliminate the mismatching of the feature points,then calcxilated the transformation relation matrix H between the spliced images,Finally,used the weighted smoothing algorithm to complete the fusion of weather station images,and the final weather station mosaic image was obtained.Experiments show that the algorithm improves the efficiency of image splicing to a certain extent.
出处
《信息通信》
2017年第12期28-30,33,共4页
Information & Communications
