天津工业大学学报2012，Vol.31Issue(1)：65-68,4.
基于SURF算法的细胞显微图像拼接方法的改进
Improvement of a mosaicing method based on SURF algorithm for cell microscopy image
摘要
Abstract
To increase the mosaicing speed of cell microscope image, the mosaicing methods based on speeded-up robust feature (SURF) is improved. Firstly, the feature points of cell images are obtained by SURF algorithm, then the edge of cells in those images are obtained. At last, only the feature points on the cell edge are used for images matching and images fusion in the next step. The experimental results show that the effect of cell images mosaicing is better and the computing speed is faster.关键词
SURF算法/细胞显微图像/拼接方法/边缘检测/特征匹配/Hessian矩阵/图像融合Key words
SURF algorithm/cell microscopy image/mosaicing method/edge detection/feature matching/Hessian matrix/image fusing分类
信息技术与安全科学引用本文复制引用
李碧草,尚可可,郑渝..基于SURF算法的细胞显微图像拼接方法的改进[J].天津工业大学学报,2012,31(1):65-68,4.基金项目
国家自然科学基金项目(50775157) （50775157）
