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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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka (UTeM)
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf |
| _version_ | 1825811828738883584 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:20:07Z |
| format | Article |
| id | UMPir19626 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:20:07Z |
| publishDate | 2018 |
| publisher | Universiti Teknikal Malaysia Melaka (UTeM) |
| record_format | dspace |
| spelling | UMPir196262018-08-08T07:44:41Z 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. (Published) http://journal.utem.edu.my/index.php/jtec/article/view/3482 |
| 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 |
| title | 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_short | Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm |
| title_sort | illumination invariant image matching based on simulated kalman filter skf algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/19626/1/Illumination-Invariant%20Image%20Matching%20Based%20on%20Simulated.pdf |
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