Disparity Refinement Process Based On Ransac Plane Fitting For Machine Vision Applications

Hamzah, Rostam Affendi and Kadmin, Ahmad Fauzan and Abd Gani, Shamsul Fakhar and Hamid, Mohd Saad and Salam, Saifullah (2017) Disparity Refinement Process Based On Ransac Plane Fitting For Machine Vision Applications. Journal Of Fundamental And Applied Sciences, 9 (4S). pp. 226-237. ISSN 1112-9867

[img] Text
Journal_Pb.pdf - Published Version
Restricted to Registered users only

Download (346kB)


This paper presents a new disparity map refinement process for stereo matching algorithm and the refinement stage that will be implemented by partitioning the place or mask image and re-projected to the preliminary disparity images. This process is to refine the noise and sparse of initial disparity map from weakly textured. The plane fitting algorithm is using Random Sample Consensus. Two well-known stereo matching algorithms have been tested on this framework with different filtering techniques applied at disparity refinement stage. The framework is evaluated on three Middlebury datasets. The experimental results show that the proposed framework produces better-quality and more accurate than normal flow state-of-the-art stereo matching algorithms. The performance evaluations are based on standard image quality metrics i.e. structural similarity index measure, peak signal-to-noise ratio and mean square error.

Item Type: Article
Uncontrolled Keywords: computer vision; disparity refinement; image segmentation; RANSAC; stereo matching algorithm
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering Technology > Department of Electronics & Computer Engineering Technology
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 28 May 2018 07:47
Last Modified: 08 Jul 2021 16:26
URI: http://eprints.utem.edu.my/id/eprint/20832
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item