A Study Of Edge Preserving Filters In Image Matching

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

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Abstract

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

Item Type:	Article
Uncontrolled Keywords:	Bilateral Filter, Edge Preserving Filter, Image Matching, Median Filter, Stereo Vision
Divisions:	Faculty of Electrical and Electronic Engineering Technology > Department of Electronic and Computer Engineering Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	09 Mar 2022 16:46
Last Modified:	09 Mar 2022 16:46
URI:	http://eprints.utem.edu.my/id/eprint/25557
Statistic Details:	View Download Statistic

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