Analysis and implementation of image fusion technology based on simulation software

DOI

10.2991/icmmcce-17.2017.17How to use a DOI?

Keywords

PAC analysis; image fusion; simulation software; detail preserving; gray level

Abstract

Affected by the environment and equipment, it is not possible to use the camera or sensor to complete the expression of environmental information, if multiple images are used, a large amount of image information will be generated, which is not conducive to data processing, and image fusion technology can solve this problem. In order to improve the image fusion effect, the main PCA analysis algorithm was adopted in the extraction of image information fusion. Through the multi image information extraction and matching, the fused image can be more complete expression of the main information of multiple images. In order to verify the reliability of the algorithm, Matlab software simulation software has been used in different gray level image fusion, the fusion has been preserving image details better, and the image fusion effect is even higher than that of the original definition to any image, which can verify effectively the reliability of PCA image fusion algorithm.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hua Chen
AU  - Yan Cai
PY  - 2017/09
DA  - 2017/09
TI  - Analysis and implementation of image fusion technology based on simulation software
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 79
EP  - 83
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.17
DO  - 10.2991/icmmcce-17.2017.17
ID  - Chen2017/09
ER  -