南方医科大学学报Issue(9)：1251-1257,7.
基于sift特征点的透射电子显微镜多幅图像拼接
Multiple transmission electron microscopic image stitching based on sift features
摘要
Abstract
We proposed a new stitching method based on sift features to obtain an enlarged view of transmission electron microscopic (TEM) images with a high resolution. The sift features were extracted from the images, which were then combined with fitted polynomial correction field to correct the images, followed by image alignment based on the sift features. The image seams at the junction were finally removed by Poisson image editing to achieve seamless stitching, which was validated on 60 local glomerular TEM images with an image alignment error of 62.5 to 187.5 nm. Compared with 3 other stitching methods, the proposed method could effectively reduce image deformation and avoid artifacts to facilitate renal biopsy pathological diagnosis.关键词
图像拼接/特征点/图像几何校正/图像配准/泊松图像编辑/高分辨率/大视野Key words
image stitching/sift features/image correction/image alignment/Poisson image editing/high resolution/large view引用本文复制引用
李穆,路艳蒙,韩帅虎,邬卓彬,陈家竞,刘哲星,曹蕾..基于sift特征点的透射电子显微镜多幅图像拼接[J].南方医科大学学报,2015,(9):1251-1257,7.基金项目
国家自然科学基金青年基金（61102114） Supported by Natural Science Foundation for the Youth (NSFY) of China (61102114) （NSFY）
