Improved stereo matching algorithm based on census transform and dynamic histogram cost computation

Kadmin, Ahmad Fauzan and Hamzah, Rostam Affendi and Abd Manap, Nurulfajar and Hamid, Mohd Saad and Abd Gani, Shamsul Fakhar (2021) Improved stereo matching algorithm based on census transform and dynamic histogram cost computation. International Journal of Emerging Technology and Advanced Engineering, 11 (8). pp. 48-57. ISSN 2250–2459

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Abstract

Stereo matching is a significant subject in the stereo vision algorithm. Traditional taxonomy composition consists of several issues in the stereo correspondences process such as radiometric distortion, discontinuity, and low accuracy at the low texture regions. This new taxonomy improves the local method of stereo matching algorithm based on the dynamic cost computation for disparity map measurement. This method utilised modified dynamic cost computation in the matching cost stage. A modified Census Transform with dynamic histogram is used to provide the cost volume. An adaptive bilateral filtering is applied to retain the image depth and edge information in the cost aggregation stage. A Winner Takes All (WTA) optimisation is applied in the disparity selection and a left-right check with an adaptive bilateral median filtering are employed for final refinement. Based on the dataset of standard Middlebury, the taxonomy has better accuracy and outperformed several other state-of-the-art algorithms.

Item Type:	Article
Uncontrolled Keywords:	Stereo matching, Disparity map, Dynamic cost, Census transform, Local method
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	29 Mar 2023 10:44
Last Modified:	29 Mar 2023 10:44
URI:	http://eprints.utem.edu.my/id/eprint/26517
Statistic Details:	View Download Statistic

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