Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm

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)

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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.

Item Type: Article
Uncontrolled Keywords: Illumination-invariant; Image Template Matching; Simulated Kalman Filter; Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 08 Aug 2018 07:44
Last Modified: 08 Aug 2018 07:44
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