Infrared and Laser Engineering, Volume. 54, Issue 6, 20240478(2025)
Complex infrared background motion compensation algorithm based on LGB descriptor
Fig. 2. Schematic diagram of the construction of circular regions by the FAST algorithm
Fig. 3. Schematic diagram of the principle of the quadtree algorithm
Fig. 4. Schematic diagram of the LGB descriptor generation process
Fig. 5. Schematic diagram of location descriptor generation process
Fig. 6. Schematic diagram of grayscale descriptor generation process
Fig. 7. Schematic diagram of BEBLID descriptor generation process[16]
Fig. 10. (a) Distribution of feature points without any manipulation; (b) The first 100 feature points with the largest response values based on (a); (c) Distribution of feature points after manipulation using the quadtree algorithm based on (a) (The number of retained feature points is 100)
Fig. 11. Difference map after background motion compensation for six image sequences with different algorithms
Fig. 13. Performance efficiency analysis of different matching strategies
Fig. 14. (a) Original image; (b) Using MPCM algorithm on the original image; (c) Using MPCM algorithm on the frame difference image without any processing; (d) Using background motion compensation algorithm on the frame difference image after background motion compensation
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Jinheng JING, Xiangbin LING, Yuhao XIONG, Wenyuan QI, Jian LI. Complex infrared background motion compensation algorithm based on LGB descriptor[J]. Infrared and Laser Engineering, 2025, 54(6): 20240478
Category: Optical imaging, display and information processing
Received: Oct. 22, 2024
Accepted: --
Published Online: Jul. 1, 2025
The Author Email: Wenyuan QI (qwy77687@163.com)