Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410010(2021)
Image Matching Algorithm for Fast Scale-Invariant Feature Transformation Based on Mask Search
Fig. 2. Image partition, Mask pyramid, and feature point searching with Mask. (a) Image partition; (b) Mask pyramid; (c) feature point searching with Mask
Fig. 3. Matching time, correct matching points, and seven-zone circular descriptor. (a) Matching time; (b) correct matching points; (c) seven-zone circular descriptor
Fig. 4. Image matching results. (a) Brightness transformation; (b) perspective transformation; (c) fuzzy transformation; (d) rotation and scaling transformation; (e) compression transformation
Fig. 5. Overall time of algorithm, number of feature points, and number of correct matching points. (a) Overall time of algorithm; (b) number of feature points; (c) number of correct matching points
Fig. 6. Descriptor generation time, matching time, and number of correct matching points. (a) Descriptor generation time; (b) matching time; (c) number of correct matching points
Fig. 7. Algorithms for adding extreme category in matching stage. (a) SIFT algorithm; (b) algorithm in Ref. [10]; (c) algorithm in Ref. [11]
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Yuhao Wang, Zetian Tang, Minzhe Zhong, Yang Wang, Guangwen Zhao, Caifu Ding, Chen Yang. Image Matching Algorithm for Fast Scale-Invariant Feature Transformation Based on Mask Search[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410010
Category: Image Processing
Received: Jun. 19, 2020
Accepted: Aug. 7, 2020
Published Online: Feb. 8, 2021
The Author Email: Wang Yuhao (wyh920726@163.com), Yang Chen (wyh920726@163.com)