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

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...

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Main Authors: Kadmin, Ahmad Fauzan, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Hamid, Mohd Saad, Abd Gani, Shamsul Fakhar
Format: Article
Language:English
Published: IJETAE Publication House 2021
Online Access:http://eprints.utem.edu.my/id/eprint/26517/2/IJETAE_0821_07.PDF
http://eprints.utem.edu.my/id/eprint/26517/
https://www.ijetae.com/files/Volume11Issue8/IJETAE_0821_07.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.265172023-03-29T10:44:43Z http://eprints.utem.edu.my/id/eprint/26517/ Improved stereo matching algorithm based on census transform and dynamic histogram cost computation Kadmin, Ahmad Fauzan Hamzah, Rostam Affendi Abd Manap, Nurulfajar Hamid, Mohd Saad Abd Gani, Shamsul Fakhar 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. IJETAE Publication House 2021-08 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26517/2/IJETAE_0821_07.PDF 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 https://www.ijetae.com/files/Volume11Issue8/IJETAE_0821_07.pdf 10.46338/IJETAE0821_07
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Article
author Kadmin, Ahmad Fauzan
Hamzah, Rostam Affendi
Abd Manap, Nurulfajar
Hamid, Mohd Saad
Abd Gani, Shamsul Fakhar
spellingShingle Kadmin, Ahmad Fauzan
Hamzah, Rostam Affendi
Abd Manap, Nurulfajar
Hamid, Mohd Saad
Abd Gani, Shamsul Fakhar
Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
author_facet Kadmin, Ahmad Fauzan
Hamzah, Rostam Affendi
Abd Manap, Nurulfajar
Hamid, Mohd Saad
Abd Gani, Shamsul Fakhar
author_sort Kadmin, Ahmad Fauzan
title Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
title_short Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
title_full Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
title_fullStr Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
title_full_unstemmed Improved stereo matching algorithm based on census transform and dynamic histogram cost computation
title_sort improved stereo matching algorithm based on census transform and dynamic histogram cost computation
publisher IJETAE Publication House
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/26517/2/IJETAE_0821_07.PDF
http://eprints.utem.edu.my/id/eprint/26517/
https://www.ijetae.com/files/Volume11Issue8/IJETAE_0821_07.pdf
_version_ 1761675043940597760