Gan, Melvin Yeou Wei and Hamzah, Rostam Affendi and Nik Anwar, Nik Syahrim and Herman, Adi Irwan and Jamil Alsayaydeh, Jamil Abedalrahim (2024) Improvement of horizontal streak on disparity map thru parameter optimization for stereo vision algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 35 (3). pp. 1886-1894. ISSN 2502-4752
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Abstract
In this paper, an improved local based stereo vision disparity map (SVDM) algorithm is proposed. The proposed local based SVDM algorithm include four stages and they are matching cost computation, cost aggregation disparity optimization and disparity refinement. The matching cost computation started by combining pixel to pixel matching techniques, which are absolute difference (AD) and gradient matching (GM) in producing the initial disparity map. Next, the cost aggregation uses minimum spanning tree (MST) segmentation, which equipped with edge preserving properties and noise filtering. Then, disparity optimization uses local approach with winner-take-all (WTA) technique. At the final stage, disparity refinement uses bilateral filter (BF) with weighted median (WM), which can improve the disparity map through noise removing and edges preserving. Then, the research continues to optimize the proposed local based SVDM algorithm through parameters optimization in obtaining the final disparity map. Here, multiple parameters from the proposed SVDM algorithm are manipulated and they are constant values for GM and several constant parameters in BF. By selecting the optimum parameter values, the performance of the proposed SVDM algorithm increased, especially robustness towards the horizontal streaks.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Absolute differences, Gradient matching, Horizontal streak, Minimum spanning tree, Parameter optimization; Stereo vision |
| Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 04 Oct 2024 16:59 |
| Last Modified: | 04 Oct 2024 16:59 |
| URI: | http://eprints.utem.edu.my/id/eprint/27686 |
| Statistic Details: | View Download Statistic |
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