Research on Medical Image Fusion Based on PCA

YA-LING ZHU, RUI-LING LIU, XIANG-WEI LI, JUAN WANG

Abstract


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.

Keywords


Principal components analysis, Medical image, Image fusion.Text


DOI
10.12783/dtcse/cmsms2018/25281

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