同步辐射荧光分区域面扫描的控制和图像拼接方法
兰旭颖，张继超，张丽丽，李爱国同步辐射荧光分区域面扫描的控制和图像拼接方法
兰旭颖1，2，张继超1，2，张丽丽1，2，李爱国1，2
(1.中国科学院上海应用物理研究所，上海201204；2.中国科学院上海高等研究院，上海201210)
摘 要 针对同步辐射荧光面扫描实验中，样品荧光信号获取区域大于样品台精细扫描电机的最大行程范围情况下，样品分区域面扫描并完整拼接图像的问题，给出了一种荧光面扫描的控制和图像拼接方法。扫描控制方法实现了获取待拼接荧光图像。图像拼接方法采用尺度不变特征变换算法和快速鲁棒特征算法获取图像特征点并做特征匹配，再用随机采样一致算法进行匹配矫正，由正确匹配对求解出变换矩阵，完成荧光图像拼接。对小鼠的肺进行分区域荧光面扫描实验，其结果表明，所设计的扫描控制方法能有效获取待拼接荧光图像，尺度不变特征变换算法所提取的特征点的正确匹配率能够达到80%，为快速鲁棒特征算法的3倍，其最终匹配效果满足完整拼接样品荧光图像的要求。
关键词 扫描控制；荧光图像；图像拼接
中图分类号：TP399
文献标识码：Adoi:10.3969/j.issn.1000-6281.2020.01.007
The control and image stitching method of synchronous radiation fluorescence sub-region surface scanning
LAN Xu-ying1，2, ZHANG Ji-chao1，2, ZHANG Li-li1，2 LI Ai-guo1，2
（1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210；
2. Shanghai Institute of Applied Physics，Chinese Academy of Sciences，Zhangjiang Campus，Shanghai 201204，China ）
Abstract During the fluorescence probe surface scanning experiment, there is a problem of complete stitching image after the sample sub-region surface scanning when the fluorescence signal acquisition region of the sample is larger than the maximum travel range of the sample stage fine scan motor.. To solve this problem, a fluorescence sub-region surface scanning control and image stitching method is given in this paper. The fluorescence surface scanning control method realizes to obtainthe fluorescence images to be stitched in each region. The image stitching method adopts scale-invariant feature transform algorithm and speed-up robust features algorithm to acquire image feature points, and then completes the feature point matching. The random sample consensus algorithm is used to perform matching correction for eliminating the mismatch in the matching pair. The transformation matrix is solved from the correct matching pair to complete the stitching of the fluorescent image. The sub-region fluorescence surface scanning experiment was performed on the lungs of mice. The results show that the designed fluorescence surface scanning control method can effectively obtain the fluorescence images to be stitched. The correct matching rate of the feature points extracted by the scale-invariant feature transform algorithm can reach 80%,which is 3 times of the speed-up robust features algorithm. The final matching effect satisfies the requirements of the fluorescence image of completely stitched sample.
Keywords scanning control；fluorescence image；image stitching
全文下载请到同方知网，万方数据库或重庆维普等数据库中下载！