Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement

Kadmin, Ahmad Fauzan and Al-Asbahi, Monther Yousef Abdulwasea Mohammed and Hamzah, Rostam Affendi and A Aziz, Khairul Azha and Zainal, Nasharuddin and Jazlan, Nabil Jazli (2025) Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement. Journal of Telecommunication, Electronic and Computer Engineering, 17 (4). pp. 1-6. ISSN 2180 -1843

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Abstract

Accurate disparity map estimation is crucial for applications such as 3D reconstruction, autonomous navigation, and object detection. Local window-based cost aggregation often suffers from edge fattening and texture inconsistency. This paper introduces a Segment-Side Window based (SSW) stereo matching algorithm that combines Truncated Absolute Difference (TAD), Gradient Magnitude (GM), and Census Transform (CT) to build a robust cost volume. In the proposed approach, SLIC superpixels guide adaptive aggregation, while Side Window Filtering (SWF) preserves edges and enhances texture consistency. Winner-Takes-All optimization and SWF refinement further improve depth accuracy. On the Middlebury dataset, the proposed method achieves 13.3% (Nonocc) and 21.8% (All) bad pixel errors, outperforming BF, GF, iGF, and MF in both edge preservation and texture robustness.

Item Type:	Article
Uncontrolled Keywords:	Disparity map, Segment cost, Side window, Stereo matching, Stereo vision
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	03 Feb 2026 00:26
Last Modified:	03 Feb 2026 00:26
URI:	http://eprints.utem.edu.my/id/eprint/29399
Statistic Details:	View Download Statistic

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