Open AccessResearch on Medical Image Fusion Based on PCA
Author(s) -
Yaling Zhu,
Ruiling Liu,
Xiangwei Li,
Juan Wang
Publication year - 2018
Publication title -
destech transactions on computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2475-8841
DOI - 10.12783/dtcse/cmsms2018/25281
Subject(s) - principal component analysis , panchromatic film , artificial intelligence , image fusion , fusion , computer science , computer vision , image (mathematics) , dimensionality reduction , pattern recognition (psychology) , transformation (genetics) , philosophy , linguistics , biochemistry , chemistry , gene
In this paper, the principle of principal component transformation is introduced in detail for the problem of medical image fusion, and the principle and algorithm of image fusion based on PCA are emphatically analyzed. We extracts the main components of medical images using dimensionality reduction and replaces them with the registration panchromatic images. Finally, the medical image fusion is completed. The images after fusion are well maintained, especially when the number of bands is large.
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