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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknikal Malaysia Melaka (UTeM)
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19624/ http://umpir.ump.edu.my/id/eprint/19624/1/Image%20Template%20Matching%20Based%20on%20Simulated.pdf |
| _version_ | 1848820924299608064 |
|---|---|
| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:17:11Z |
| format | Article |
| id | ump-19624 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:17:11Z |
| publishDate | 2018 |
| publisher | Universiti Teknikal Malaysia Melaka (UTeM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-196242018-08-08T08:05:04Z 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/ http://umpir.ump.edu.my/id/eprint/19624/ http://umpir.ump.edu.my/id/eprint/19624/1/Image%20Template%20Matching%20Based%20on%20Simulated.pdf |