Laser & Optoelectronics Progress, Volume. 56, Issue 5, 051006(2019)
C-FAST Feature Detection and Matching Algorithm Based on Image Color Information
Fig. 2. Distribution of feature point via different algrithms. (a) ALOI picture group; (b) FAST; (c) C-FAST
Fig. 4. Results of feature matching. (a) C-FAST++, --; (b) FAST++, --; (c) CSIFT++, --; (d) SURF++, --(+ represents clockwise rotation or scale magnification, - represents counterclockwise rotation and scale reduction.)
Fig. 7. Noise performance analysis. C-FAST algorithm in (a) impulse noise environment and (b) Gaussian noise environment; FAST algorithm in (c) impulse noise environment and (d) Gaussian noise environment; CSIFT algorithm in (e) impulse noise environment and (f) Gaussian noise environment; SURF algorithm in (g) impulse noise environment and (h) Gaussian noise environment
Fig. 8. Operation results in the natural light environment. (a) C-FAST; (b) FAST; (c) CSIFT; (d) SURF
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Xiaoxiao Liu, Xueliang Ping, Xinyu Wang. C-FAST Feature Detection and Matching Algorithm Based on Image Color Information[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051006
Category: Image Processing
Received: Sep. 7, 2018
Accepted: Oct. 25, 2018
Published Online: Jul. 31, 2019
The Author Email: Xiaoxiao Liu (xxiao_l@163.com)