Journal of Infrared and Millimeter Waves, Volume. 42, Issue 4, 546(2023)
The infrared point target detection algorithm based on modified random walker and non-convex rank approximation minimization under the complex background
Fig. 1. (a)The infrared image with a single and smooth background,(b)the infrared image with a complex background,(c)the normalized gray level image of the confidence mapping of(a)the corresponding infrared image,(d)the normalized gray level image of the confidence mapping of(b)the corresponding infrared image,(e)the three-dimensional grid image of(c),(f)the three-dimensional grid image of(d)
Fig. 2. (a)and(b)are the original images containing infrared point targets respectively,(c)and(d)represent the normalized gray level images of the confidence mapping of the infrared images corresponding to(a)and(b),(e)and(f)are the three-dimensional grid images of the confidence mapping
Fig. 5. The infrared images and the detection results by the LCM and MPCM algorithms
Fig. 6. The infrared images and the 3D grid images of the detection results by LCM and MPCM algorithms
Fig. 7. The infrared images and the detection results of 5 algorithms
Fig. 8. The infrared images and the 3D grid images of the detection results by the 5 algorithms
Fig. 9. (a)The ROC curve of data6 sequence,(b)the ROC curve of data10 sequence,(c)the ROC curve of data13 sequence,(d)the ROC curve of data14 sequence,(e)the ROC curve of data17 sequence
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Kun WANG, De-Fu JIANG, Li-Jun YUN, Ling-Fan WU. The infrared point target detection algorithm based on modified random walker and non-convex rank approximation minimization under the complex background[J]. Journal of Infrared and Millimeter Waves, 2023, 42(4): 546
Category: Research Articles
Received: Sep. 12, 2022
Accepted: --
Published Online: Aug. 1, 2023
The Author Email: De-Fu JIANG (Surfer_jiangdf0801@163.com)