Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm

In this paper, a novel image template matching approach to tackle illumination-invariant problem has been proposed. In order, the traditional algorithm to solve image matching problem take a lot of memory and computational time, image matching problem is assigned to optimization problem and can be s...

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Main Authors:	Nurnajmin Qasrina, Ann, Pebrianti, Dwi, Zuwairie, Ibrahim, Mohd Falfazli, Mat Jusof, Luhur, Bayuaji, Nor Rul Hasma, Abdullah
Format:	Article
Language:	English
Published:	Universiti Teknikal Malaysia Melaka (UTeM) 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19626/ http://umpir.ump.edu.my/id/eprint/19626/ http://umpir.ump.edu.my/id/eprint/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf

id	ump-19626
recordtype	eprints
spelling	ump-196262018-08-08T07:44:41Z http://umpir.ump.edu.my/id/eprint/19626/ Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm Nurnajmin Qasrina, Ann Pebrianti, Dwi Zuwairie, Ibrahim Mohd Falfazli, Mat Jusof Luhur, Bayuaji Nor Rul Hasma, Abdullah TK Electrical engineering. Electronics Nuclear engineering In this paper, a novel image template matching approach to tackle illumination-invariant problem has been proposed. In order, the traditional algorithm to solve image matching problem take a lot of memory and computational time, image matching problem is assigned to optimization problem and can be solve precisely. Although recently some methods are presented for image matching illumination-invariant, all of them have the limitation in terms of dealing with the pixels complexity and many unknown parameters in the certain algorithm. The search of the image template has been performed exhaustively by using Simulated Kalman Filter (SKF) algorithm. The experiment is conducted using an image taken from the database and the contrast image changed to get the illumination effect. Experimental results show the comparison between SKF and Particle Swarm Optimization (PSO) to get the performance of the correct matching. The percentage of matching result for the image within six conditions are 24%, 16%, 16%, 12%, 28% and 4% accordingly which is higher than PSO algorithm, which is 0% correct matching for all conditions. Universiti Teknikal Malaysia Melaka (UTeM) 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf Nurnajmin Qasrina, Ann and Pebrianti, Dwi and Zuwairie, Ibrahim and Mohd Falfazli, Mat Jusof and Luhur, Bayuaji and Nor Rul Hasma, Abdullah (2018) Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10 (1-3). pp. 31-36. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/3482
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nurnajmin Qasrina, Ann Pebrianti, Dwi Zuwairie, Ibrahim Mohd Falfazli, Mat Jusof Luhur, Bayuaji Nor Rul Hasma, Abdullah Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
description	In this paper, a novel image template matching approach to tackle illumination-invariant problem has been proposed. In order, the traditional algorithm to solve image matching problem take a lot of memory and computational time, image matching problem is assigned to optimization problem and can be solve precisely. Although recently some methods are presented for image matching illumination-invariant, all of them have the limitation in terms of dealing with the pixels complexity and many unknown parameters in the certain algorithm. The search of the image template has been performed exhaustively by using Simulated Kalman Filter (SKF) algorithm. The experiment is conducted using an image taken from the database and the contrast image changed to get the illumination effect. Experimental results show the comparison between SKF and Particle Swarm Optimization (PSO) to get the performance of the correct matching. The percentage of matching result for the image within six conditions are 24%, 16%, 16%, 12%, 28% and 4% accordingly which is higher than PSO algorithm, which is 0% correct matching for all conditions.
format	Article
author	Nurnajmin Qasrina, Ann Pebrianti, Dwi Zuwairie, Ibrahim Mohd Falfazli, Mat Jusof Luhur, Bayuaji Nor Rul Hasma, Abdullah
author_facet	Nurnajmin Qasrina, Ann Pebrianti, Dwi Zuwairie, Ibrahim Mohd Falfazli, Mat Jusof Luhur, Bayuaji Nor Rul Hasma, Abdullah
author_sort	Nurnajmin Qasrina, Ann
title	Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_short	Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_full	Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_fullStr	Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_full_unstemmed	Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_sort	illumination-invariant image matching based on simulated kalman filter (skf) algorithm
publisher	Universiti Teknikal Malaysia Melaka (UTeM)
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19626/ http://umpir.ump.edu.my/id/eprint/19626/ http://umpir.ump.edu.my/id/eprint/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf
first_indexed	2023-09-18T22:28:05Z
last_indexed	2023-09-18T22:28:05Z
_version_	1777416101292933120

Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm

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