Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm

A novel approach to the image matching based on Simulated Kalman Filter (SKF) algorithm has been proposed in this paper. 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...

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Main Authors: Nurnajmin Qasrina, Ann, Pebrianti, Dwi, Zuwairie, Ibrahim, Luhur, Bayuaji, Mohd Falfazli, Mat Jusof
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka (UTeM) 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19624/1/Image%20Template%20Matching%20Based%20on%20Simulated.pdf
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author Nurnajmin Qasrina, Ann
Pebrianti, Dwi
Zuwairie, Ibrahim
Luhur, Bayuaji
Mohd Falfazli, Mat Jusof
author_facet Nurnajmin Qasrina, Ann
Pebrianti, Dwi
Zuwairie, Ibrahim
Luhur, Bayuaji
Mohd Falfazli, Mat Jusof
author_sort Nurnajmin Qasrina, Ann
collection UMP
description A novel approach to the image matching based on Simulated Kalman Filter (SKF) algorithm has been proposed in this paper. 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. The Normalized Cross Correlation (NCC) function of template and sub image is assigned as the fitness function. Experimental results prove that the proposed algorithm is more accurate and precise compared to Particle Swarm Optimization (PSO) algorithm. The percentage of matching result for Cameraman and Mountain are 36% and 32% accordingly which is higher than PSO algorithm, which are 12% and 4% respectively.
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spelling UMPir196242018-08-08T08:05:04Z http://umpir.ump.edu.my/id/eprint/19624/ Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm Nurnajmin Qasrina, Ann Pebrianti, Dwi Zuwairie, Ibrahim Luhur, Bayuaji Mohd Falfazli, Mat Jusof TK Electrical engineering. Electronics Nuclear engineering A novel approach to the image matching based on Simulated Kalman Filter (SKF) algorithm has been proposed in this paper. 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. The Normalized Cross Correlation (NCC) function of template and sub image is assigned as the fitness function. Experimental results prove that the proposed algorithm is more accurate and precise compared to Particle Swarm Optimization (PSO) algorithm. The percentage of matching result for Cameraman and Mountain are 36% and 32% accordingly which is higher than PSO algorithm, which are 12% and 4% respectively. Universiti Teknikal Malaysia Melaka (UTeM) 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19624/1/Image%20Template%20Matching%20Based%20on%20Simulated.pdf Nurnajmin Qasrina, Ann and Pebrianti, Dwi and Zuwairie, Ibrahim and Luhur, Bayuaji and Mohd Falfazli, Mat Jusof (2018) Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10 (2-7). pp. 37-41. ISSN 2180-1843. (Published) http://journal.utem.edu.my/index.php/jtec/article/view/4416
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nurnajmin Qasrina, Ann
Pebrianti, Dwi
Zuwairie, Ibrahim
Luhur, Bayuaji
Mohd Falfazli, Mat Jusof
Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_full Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_fullStr Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_full_unstemmed Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_short Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
title_sort image template matching based on simulated kalman filter skf algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/19624/1/Image%20Template%20Matching%20Based%20on%20Simulated.pdf
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