Research Article
Research on Scale Space Fusion Method of Medical Big Data Video Image
4 downloads
@INPROCEEDINGS{10.1007/978-3-030-51100-5_35, author={Xiao-yan Wang and Guo-hui Wei and Zheng-wei Gu and Jin-gang Ma and Ming Li and Hui Cao}, title={Research on Scale Space Fusion Method of Medical Big Data Video Image}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2020}, month={7}, keywords={Medical treatment big data Video image Scale space fusion}, doi={10.1007/978-3-030-51100-5_35} }- Xiao-yan Wang
Guo-hui Wei
Zheng-wei Gu
Jin-gang Ma
Ming Li
Hui Cao
Year: 2020
Research on Scale Space Fusion Method of Medical Big Data Video Image
ICMTEL
Springer
DOI: 10.1007/978-3-030-51100-5_35
Abstract
In the research of scale space fusion of medical big data video image, due to the different spatial management methods of multi-source video image, the efficiency of multi-dimensional scale space fusion is low, so a new image scale space fusion method is designed according to the characteristics of medical big data video image. From the aspect of video image visualization and multi-dimensional space fusion, the space fusion method is designed respectively, and the sampling survey method is adopted for experimental analysis to obtain experimental data. The experimental results show that the proposed method is feasible and reliable.
Copyright © 2020–2025 ICST
