Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031103(2018)
Adaptive Window Local Matching Algorithm Based on HSV Color Space
Fig. 1. Block diagram of proposed algorithm
Fig. 2. Color component grayscale of Tsukuba. (a) R component; (b) G component; (c) B component; (d) H component; (e) S component; (f) V component
Fig. 3. Comparison of different aggregation regions. (a) Fixed region; (b) adaptive aggregation region; (c) aggregation region selected by proposed method
Fig. 4. (a) Reference images; (b) actual disparity maps; simulation results obtained by (c) proposed algorithm, (d) adaptive stereo matching method and (e) ASSW method for Middlebury stereo pairs
Fig. 5. PSNR comparison of proposed algorithm with other similar methods
Fig. 6. Running time comparison of proposed algorithm and other similar methods
Fig. 7. Robustness tests for parameters (a) Lmax and (b) τ
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Xiu Su, Xiaodong Chen, Huaiyuan Xu, Haitao Liang, Yilin Liu, Yi Wang, Weifeng Li, Daoyin Yu. Adaptive Window Local Matching Algorithm Based on HSV Color Space[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031103
Category: Imaging Systems
Received: Sep. 13, 2017
Accepted: --
Published Online: Sep. 10, 2018
The Author Email: Chen Xiaodong (xdchen@tju.edu.cn)