Infrared and Laser Engineering, Volume. 50, Issue 12, 20210165(2021)
Research on monogenic signal of application in infrared imagery target classification
Figures & Tables(7)
Fig. 1. Procedure of infrared image target classification based on joint representation of monogenic features
Fig. 3. Classification results of the proposed method for original test samples
Fig. 4. Comparison of performance of different methods on noisy test samples
Fig. 5. Comparison of performance of different methods on occluded test samples
Table 1. Descriptions of the reference methods
View tableView in ArticleTable 1. Descriptions of the reference methods
Method type Feature Classifier Reference Reference 1 Target contour Global similarity based on distance transform [ 8 ]Reference 2 HOG descriptors SVM [ 11 ]Reference 3 Covariance descriptor Kernel sparse coding [ 12 ]Reference 4 Image pixels CNN [ 15 ]
Table 2. Comparison of performance of different methods on orginal test samples
View tableView in ArticleTable 2. Comparison of performance of different methods on orginal test samples
Method type Average recognition rate Efficiency/ms Proposed method 98.2 94.8 Reference 1 94.4 146.7 Reference 2 95.1 87.3 Reference 3 95.3 92.4 Reference 4 97.4 113.2
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Yazhi Yang, Jun Li. Research on monogenic signal of application in infrared imagery target classification[J]. Infrared and Laser Engineering, 2021, 50(12): 20210165
Paper Information
Category: Image processing
Received: May. 10, 2021
Accepted: --
Published Online: Feb. 9, 2022
The Author Email: Jun Li (junli_1@163.com)
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