Multiresolution Scene Matching Algorithm for Infrared and Visible Images Based on Non-subsampled Contourlet Transform

Authors

Liu Gang, 1. College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China;;
Guangyu Wang, 1. College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China;;
Zhou Heng, 2. China Airborne Missile Academic, Luoyang 471009, China;
Mingjing Wang, 2. China Airborne Missile Academic, Luoyang 471009, China;

Abstract

Abstract: Aiming at scene matching problem for taking infrared image as the actual data and the visible image as the referenced data, a multiresolution matching algorithm was proposed based on non-subsampled contourlet transform (NSCT). By using the transform of phase congruency transform, the difference of grayscale and contrast between infrared image and visible light image was weakened. Subsequently, the two types of images were separately transformed into non-subsampled contourlet domain and the proposed method took the Krawtchouk invariant moment as matching feature. The presented method, which used the improved genetic algorithm (GA) as searching strategy which conquered the precocious phenomenon, realized the multiresolution matching between infrared image and visible light image. The presented method used the relative coefficient of Krawtchouk invariant moment between the two types of images as fitness criterion for searching. Experimental results show that the proposed method has not only high matching accuracy and fast matching speed, but also better robustness in comparison with some classic matching algorithms, which can resist the geometric distortion of rotation for actual image.

Recommended Citation

Gang, Liu; Wang, Guangyu; Heng, Zhou; and Wang, Mingjing (2020) "Multiresolution Scene Matching Algorithm for Infrared and Visible Images Based on Non-subsampled Contourlet Transform," Journal of System Simulation: Vol. 28: Iss. 8, Article 13.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss8/13

First Page

1795

Revised Date

2016-01-18

DOI Link

https://doi.org/

Last Page

1804

CLC

TP391.41

Recommended Citation

Liu Gang, Wang Guangyu, Zhou Heng, Wang Mingjing. Multiresolution Scene Matching Algorithm for Infrared and Visible Images Based on Non-subsampled Contourlet Transform[J]. Journal of System Simulation, 2016, 28(8): 1795-1804.