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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/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf
http://umpir.ump.edu.my/id/eprint/19626/
http://journal.utem.edu.my/index.php/jtec/article/view/3482
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf
http://umpir.ump.edu.my/id/eprint/19626/
http://journal.utem.edu.my/index.php/jtec/article/view/3482
_version_ 1643668696618500096
score 13.211869

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