Improvement of vibration control of a pneumatic shaker

DOI

10.2991/mce-14.2014.162How to use a DOI?

Keywords

vibration; pneumatic shaker; amplitude fluctuation; shock absorber; rubber belt

Abstract

In order to solve the problem of spectral distortion and the fuzzy texture in visible and infrared image fusion technology, a novel visible and infrared image fusion method based on the Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks (PCNN) is proposed in this paper. First, we gain three components of visible image, luminance I, chrominance H and saturation S, using the IHS transform. Then, we gain three coefficients, low frequency sub-band, passband sub-band and high frequency coefficient by decomposing the component I and infrared image with the help of the NSCT. Next, we use weighted-sum method to fuse the low frequency sub-band and PCNN method to fuse the other sub-band coefficient respectively. At last, we gain the fusion image by using the inverse IHS transform on the fusion component I gained by the inverse NSCT transform. Experiments show that our method have better fusion quality and can be more better to keep the visible spectral and detail information than some traditional methods such as, Laplace method, Wavelet method and Lifting Wavelet method.

Copyright

© 2014, 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  - Shouqiang Men
AU  - Jun Zhou
AU  - Jingwen Xu
PY  - 2014/03
DA  - 2014/03
TI  - Improvement of vibration control of a pneumatic shaker
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 722
EP  - 725
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.162
DO  - 10.2991/mce-14.2014.162
ID  - Men2014/03
ER  -