Real-time image matching in dual-band image fusion

2005 ◽  
Author(s):  
Yi Zhang ◽  
Baomin Zhang ◽  
Lianfa Bai ◽  
Weixian Qian
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Image Matching ◽  
Dual Band ◽  
Real Time Image ◽  
Time Image ◽  
Band Image

Real-time image fusion and target learning and detection on a laptop attached processor

2005 ◽  
Author(s):  
David Fay ◽  
Paul Ilardi ◽  
Nathan Sheldon ◽  
Daniel Grau ◽  
Robert Biehl ◽  
...  
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Real Time Image ◽  
Time Image

Real-time image fusion: a vision aid for helicopter pilotage

2002 ◽  
Author(s):  
Moira I. Smith ◽  
Andrew Ball ◽  
David Hooper
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Real Time Image ◽  
Time Image

scholarly journals Real-Time Image Stabilization Method Based on Optical Flow and Binary Point Feature Matching

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 198 ◽  
Author(s):  
Zilong Deng ◽  
Dongxiao Yang ◽  
Xiaohu Zhang ◽  
Yuguang Dong ◽  
Chengbo Liu ◽  
...  
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Image Matching ◽  
Image Guidance ◽  
Feature Matching ◽  
Guidance System ◽  
Stabilization Method ◽  
Image Stabilization ◽  
Real Time Image ◽  
Time Image

The strap-down missile-borne image guidance system can be easily affected by the unwanted jitters of the motion of the camera, and the subsequent recognition and tracking functions are also influenced, thus severely affecting the navigation accuracy of the image guidance system. So, a real-time image stabilization technology is needed to help improve the image quality of the image guidance system. To satisfy the real-time and accuracy requirements of image stabilization in the strap-down missile-borne image guidance system, an image stabilization method based on optical flow and image matching with binary feature descriptors is proposed. The global motion of consecutive frames is estimated by the pyramid Lucas-Kanade (LK) optical flow algorithm, and the interval frames image matching based on fast retina keypoint (FREAK) algorithm is used to reduce the cumulative trajectory error. A Kalman filter is designed to smooth the trajectory, which is conducive to fitting to the main motion of the guidance system. Simulations have been carried out, and the results show that the proposed algorithm improves the accuracy and real-time performance simultaneously compared to the state-of-art algorithms.

Interventional MRA using actively visualized catheters, TrueFISP, and real-time image fusion

2002 ◽  
Vol 49 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Harald H. Quick ◽  
Hilmar Kuehl ◽  
Gernot Kaiser ◽  
Dirk Hornscheidt ◽  
Krzysztof P. Mikolajczyk ◽  
...  
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Real Time Image ◽  
Time Image

Rapid Design of Real-Time Image Fusion on FPGA using HLS and Other Techniques

2018 ◽  
Author(s):  
Furkan Aydin ◽  
H. Fatih Ugurdag ◽  
Vecdi Emre Levent ◽  
Aydin Emre Guzel ◽  
N. Fajar R. Annafianto ◽  
...  
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Rapid Design ◽  
Real Time Image ◽  
Time Image

Real-time image fusion based on morphological un-decimated wavelets

2013 ◽  
Vol 32 (10) ◽  
pp. 2809-2813
Author(s):  
Miao DENG ◽  
Ji-hong ZHANG ◽  
Wei LIU ◽  
Yong-sheng LIANG
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Real Time Image ◽  
Time Image
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