Optics and Precision Engineering, Volume. 31, Issue 24, 3630(2023)
SIFT feature extraction method for the defocused blurred area of multi-focus images
Figures & Tables(8)
Fig. 3. Comparison of feature extraction and matching effect between conventional and proposed methods
Fig. 5. Result of feature extraction and matching of unregistered multi-focus images
Table 1. Comparison of feature matching quantity between the proposed method and the four comparison methods
View tableView in ArticleTable 1. Comparison of feature matching quantity between the proposed method and the four comparison methods
Subject SIFT SURF ORB DAISY-SIFT Proposed method Fig. 2 （a）43 50 31 44 300 Fig. 2 （b）14 21 25 20 300 Fig. 2 （c）112 102 107 74 300 Fig. 2 （d）141 210 151 180 300 Fig. 2 （e）119 137 81 112 300 Fig. 2 （f）102 126 136 116 300
Table 2. Comparison of feature extraction errors between the proposed method and the four comparison methods
View tableView in ArticleTable 2. Comparison of feature extraction errors between the proposed method and the four comparison methods
Subject SIFT SURF ORB DAISY-SIFT Proposed method Fig. 2 （a）1.43 1.60 0.53 1.62 0.39 Fig. 2 （b）1.39 1.71 0.21 209.12（mismatch） 0.20 Fig. 2 （c）0.59 0.91 0.59 0.64 0.10 Fig. 2 （d）0.50 0.49 0.41 0.68 0.11 Fig. 2 （e）0.96 0.85 0.50 1.02 0.17 Fig. 2 （f）0.65 0.55 0.21 0.92 0.03
Table 3. Comparison of number of matching features between proposed method and comparison methods
View tableView in ArticleTable 3. Comparison of number of matching features between proposed method and comparison methods
Subject SIFT SURF ORB DAISY-SIFT Proposed method Fig. 4 （a）72 106 65 106 300 Fig. 4 （b）45 38 14 41 300 Fig. 4 （c）0 0 0 0 300 Fig. 4 （d）85 126 108 86 300
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Xiaohua XIA, Qian ZHAO, Huatao XIANG, Xufang QIN, Pengju YUE. SIFT feature extraction method for the defocused blurred area of multi-focus images[J]. Optics and Precision Engineering, 2023, 31(24): 3630
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Received: May. 4, 2023
Accepted: --
Published Online: Jan. 5, 2024
The Author Email: XIA Xiaohua (xhxia@chd.edu.cn)
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