A Study Of Edge Preserving Filters In Image Matching

This article presents a study on edge preserving filters in image matching which comprises a development of stereo matching algorithm using two edge preserving filters. Fundamentally, the framework is reconstructed by several sequential processes. The output of these processes is a disparity map or...

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Main Authors: Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Tg. Wook, Tg Mohd Faizal, Kadmin, Ahmad Fauzan, Wei, Melvin Gan Yeou, Mohamood, Nadzrie, A Aziz, Khairul Azha
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25557/2/J15%202021.PDF
http://eprints.utem.edu.my/id/eprint/25557/
https://beei.org/index.php/EEI/article/view/1947
https://doi.org/10.11591/eei.v10i1.1947
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spelling my.utem.eprints.255572022-03-09T16:46:58Z http://eprints.utem.edu.my/id/eprint/25557/ A Study Of Edge Preserving Filters In Image Matching Hamzah, Rostam Affendi Abd Gani, Shamsul Fakhar Tg. Wook, Tg Mohd Faizal Kadmin, Ahmad Fauzan Wei, Melvin Gan Yeou Mohamood, Nadzrie A Aziz, Khairul Azha This article presents a study on edge preserving filters in image matching which comprises a development of stereo matching algorithm using two edge preserving filters. Fundamentally, the framework is reconstructed by several sequential processes. The output of these processes is a disparity map or depth map. The corresponding points between two images require accurate matching to make accurate depth map estimation. Thus, the propose work in this article utilizes sum of squared differences (SSD) with dual edge preserving filters. These filters are used due to edge preserved properties and to increase the accuracy. The median filter (MF) and bilateral filter (BF) will be utilized. The SSD produces preliminary results with low noise and the edge preserving filters reduce noise on the low texture regions with edge preserving properties. Based on the experimental analysis using the standard benchmarking evaluation system from the Middlebury, the disparity map produced is 6.65% for all error pixels. It shows an accurate edge preserved properties on the disparity maps. To make the proposed work more reliable with current available methods, the quantitative measurement has been made to compare with other existing methods and it displays the proposed work in this article perform much better Institute of Advanced Engineering and Science 2021-02 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25557/2/J15%202021.PDF Hamzah, Rostam Affendi and Abd Gani, Shamsul Fakhar and Tg. Wook, Tg Mohd Faizal and Kadmin, Ahmad Fauzan and Wei, Melvin Gan Yeou and Mohamood, Nadzrie and A Aziz, Khairul Azha (2021) A Study Of Edge Preserving Filters In Image Matching. Bulletin of Electrical Engineering and Informatics, 10 (1). pp. 111-117. ISSN 2089-3191 https://beei.org/index.php/EEI/article/view/1947 https://doi.org/10.11591/eei.v10i1.1947
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 This article presents a study on edge preserving filters in image matching which comprises a development of stereo matching algorithm using two edge preserving filters. Fundamentally, the framework is reconstructed by several sequential processes. The output of these processes is a disparity map or depth map. The corresponding points between two images require accurate matching to make accurate depth map estimation. Thus, the propose work in this article utilizes sum of squared differences (SSD) with dual edge preserving filters. These filters are used due to edge preserved properties and to increase the accuracy. The median filter (MF) and bilateral filter (BF) will be utilized. The SSD produces preliminary results with low noise and the edge preserving filters reduce noise on the low texture regions with edge preserving properties. Based on the experimental analysis using the standard benchmarking evaluation system from the Middlebury, the disparity map produced is 6.65% for all error pixels. It shows an accurate edge preserved properties on the disparity maps. To make the proposed work more reliable with current available methods, the quantitative measurement has been made to compare with other existing methods and it displays the proposed work in this article perform much better
format Article
author Hamzah, Rostam Affendi
Abd Gani, Shamsul Fakhar
Tg. Wook, Tg Mohd Faizal
Kadmin, Ahmad Fauzan
Wei, Melvin Gan Yeou
Mohamood, Nadzrie
A Aziz, Khairul Azha
spellingShingle Hamzah, Rostam Affendi
Abd Gani, Shamsul Fakhar
Tg. Wook, Tg Mohd Faizal
Kadmin, Ahmad Fauzan
Wei, Melvin Gan Yeou
Mohamood, Nadzrie
A Aziz, Khairul Azha
A Study Of Edge Preserving Filters In Image Matching
author_facet Hamzah, Rostam Affendi
Abd Gani, Shamsul Fakhar
Tg. Wook, Tg Mohd Faizal
Kadmin, Ahmad Fauzan
Wei, Melvin Gan Yeou
Mohamood, Nadzrie
A Aziz, Khairul Azha
author_sort Hamzah, Rostam Affendi
title A Study Of Edge Preserving Filters In Image Matching
title_short A Study Of Edge Preserving Filters In Image Matching
title_full A Study Of Edge Preserving Filters In Image Matching
title_fullStr A Study Of Edge Preserving Filters In Image Matching
title_full_unstemmed A Study Of Edge Preserving Filters In Image Matching
title_sort study of edge preserving filters in image matching
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25557/2/J15%202021.PDF
http://eprints.utem.edu.my/id/eprint/25557/
https://beei.org/index.php/EEI/article/view/1947
https://doi.org/10.11591/eei.v10i1.1947
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score 13.223943