Open AccessDevelopment of stereo matching algorithm based on sum of absolute RGB color differences and gradient Matching
Author(s) -
Rostam Affendi Hamzah,
Ming Wei,
Nik Syahrim Nik Anwar
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i3.pp2375-2382
Subject(s) - artificial intelligence , computer science , rgb color model , brightness , computer vision , contrast (vision) , matching (statistics) , filter (signal processing) , blossom algorithm , noise (video) , algorithm , pattern recognition (psychology) , mathematics , image (mathematics) , optics , statistics , physics
This paper proposes a new stereo matching algorithm which uses local-based method. The Sum of Absolute Differences (SAD) algorithm produces accurate result on the disparity map for the textured regions. However, this algorithm is sensitive to low texture areas and high noise on images with high different brightness and contrast. To get over these problems, the proposed algorithm utilizes SAD algorithm with RGB color channels differences and combination of gradient matching to improve the accuracy on the images with high brightness and contrast. Additionally, an edge-preserving filter is used at the second stage which is known as Bilateral Filter (BF). The BF filter is capable to work with the low texture areas and to reduce the noise and sharpen the images. Additionally, BF is strong against the distortions due to high brightness and contrast. The proposed work in this paper produces accurate results and performs much better compared with some established algorithms. This comparison is based on the standard quantitative measurements using the stereo benchmarking evaluation from the Middlebury.