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

Authors

  • Nurnajmin Qasrina Ann Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang
  • Dwi Pebrianti Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang
  • Zuwairie Ibrahim Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang
  • Luhur Bayuaji Faculty of Computer Science and Software Engineering
  • Mohd Falfazli Mat Jusoh Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang

Keywords:

Image Template Matching, Normalized Crosscorrelation, Optimization, Simulated Kalman Filter,

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 takes a lot of memory and computational time, image matching problem is assigned to optimization problem and can be solved 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 is 12% and 4% respectively.

Downloads

Published

2018-07-04

How to Cite

Ann, N. Q., Pebrianti, D., Ibrahim, Z., Bayuaji, L., & Mat Jusoh, M. F. (2018). Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-7), 37–41. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4416

Issue

Vol. 10 No. 2-7: Embracing The 4th Industrial Revolution: Innovation in Telecommunication, Electronic & Computer Engineering III

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.


Most read articles by the same author(s)