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Image Fusion Based on Principal Component Analysis and Slicing Image Transformation

Author
Acho, L.; Buenestado, P.
Type of activity
Presentation of work at congresses
Name of edition
22nd International Conference on Circuits, Systems, Communications and Computers
Date of publication
2018
Presentation's date
2018-07-17
Book of congress proceedings
CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book
Publisher
EDP Sciences
DOI
https://doi.org/10.1051/matecconf/201821004020 Open in new window
Project funding
Design of advanced control strategies and fault detection for complex mechatronic systems
Repository
http://hdl.handle.net/2117/123806 Open in new window
URL
https://www.matec-conferences.org/articles/matecconf/abs/2018/69/matecconf_cscc2018_04020/matecconf_cscc2018_04020.html Open in new window
Abstract
Image fusion deals with the ability to integrate data from image sensors at different instants when the source information is uncertain. Although there exist many techniques on the subject, in this paper, we develop two originative techniques based on principal component analysis and slicing image transformation to efficiently fuse a small set of noisy images. For instance, in neural data fusion, this approach requires a considerable number of corrupted images to efficiently produce the desired ...
Citation
Acho, L., Buenestado, P. Image fusion based on principal component analysis and slicing image transformation. A: International Conference on Circuits, Systems, Communications and Computers. "CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book". EDP Sciences, 2018, p. 1-13.
Keywords
Computation time, Computer circuits, Computing time, Corrupted images, Image analysis, Image fusion, Image transformations, Neural data, Noisy image, Numerical experiments, Numerical methods, Principal component analysis, Remote sensing, Wireless sensor networks
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

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