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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Terms—Image Template Matching; Normalized Cross- correlation; Optimization; Simulated Kalman Filter |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering Faculty of Electrical & Electronic Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 08 Aug 2018 08:05 |
| Last Modified: | 08 Aug 2018 08:05 |
| URI: | http://umpir.ump.edu.my/id/eprint/19624 |
| Download Statistic: | View Download Statistics |
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