Fusion method of visible and infrared images based on calibration information and regional energy optimization

Xiang-zheng Cheng; Ming Shao; Hong-bo Zhang; Wei Zhao; Lei Zhang; Bing Bai

doi:10.1117/12.2266655

10 February 2017 Fusion method of visible and infrared images based on calibration information and regional energy optimization

Xiang-zheng Cheng, Ming Shao, Hong-bo Zhang, Wei Zhao, Lei Zhang, Bing Bai

Author Affiliations +

Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102500I (2017) https://doi.org/10.1117/12.2266655
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China

Abstract

By fusing the visible and infrared images to improve the detection and recognition ability of equipments is a focus research. Aiming at the contradictory aspects of the current fusion algorithm for speed and accuracy, a fusion algorithm of visible and infrared images is proposed. Firstly, the visible and infrared imaging systems’ calibration information is obtained by calibrating the system. Secondly, the correspondence between visible image and infrared image pixel is established through constructing mathematical model. Finally, on the basis of Laplace decomposition, the visible and infrared images is fused with regional energy optimization principle. The experimental result shows that the proposed method increases the speed by 22.9%, improving the real-time performance of the fusion algorithms, while remains registration accuracy unchanged.

Citation Download Citation

Xiang-zheng Cheng, Ming Shao, Hong-bo Zhang, Wei Zhao, Lei Zhang, and Bing Bai "Fusion method of visible and infrared images based on calibration information and regional energy optimization", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102500I (10 February 2017); https://doi.org/10.1117/12.2266655

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available