您当前的位置:
首页 >
文章列表页 >
Medical image fusion based on pixel correlation analysis in NSST domain
更新时间:2025-05-26
    • Medical image fusion based on pixel correlation analysis in NSST domain

    • In the field of medical image fusion, experts have proposed a fusion method based on NSST and PCAS, which effectively preserves salient information and texture details, providing a new solution for multimodal medical image fusion.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2640-2648(2023)
    • 作者机构:

      1.长春师范大学 计算机科学与技术学院,长春 130032

      2.吉林大学 计算机科学与技术学院,长春 130012

    • DOI:10.13229/j.cnki.jdxbgxb.20200365    

      CLC: TP391
    • Received:24 May 2020

      Published:01 September 2023

    移动端阅览

  • XIAO Ming-yao,LI Xiong-fei,ZHU Rui.Medical image fusion based on pixel correlation analysis in NSST domain[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2640-2648. DOI: 10.13229/j.cnki.jdxbgxb.20200365.

  •  
  •  

0

Views

11

下载量

2

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Infrared and visible image fusion based on gradient transfer and auto-encoder
Crack identification method for bridge based on BCEM model
Infrared and visible image fusion based on discrete nonseparable shearlet transform and convolutional sparse representation
Multi-focus image fusion based on latent low⁃rank representation combining low⁃rank representation
Improved boundary detection based on multi-scale cues fusion

Related Author

LIU Ming-yang
HU Jia-ming
SUN Hua-dong
MENG Jie-yu
WANG Ao-ying
ZHANG Han-yue
YANG Hua-min
LI Yan-feng

Related Institution

School of Computer Science and Technology, Changchun University of Science and Technology
School of Artificial Intelligence, Changchun University of Science and Technology
School of Electronics and Information Engineering,Beibu Gulf University
School of Automation and Electrical Engineering, Lanzhou Jiaotong University
Gansu Province Artificial Intelligence and Graphics and Image Processing Engineering Research Center
0