Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Effective Strategies for ROI and Image Matching

Author 1: Dr. Khaled M. G. Noaman Author 2: Dr. Jamil Abdulhamid M. Saif
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 2 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.060201

Download PDF Cite Call for Papers

Abstract

The paper presents an exceptional four matching strategies: systematic, random, gradient and simulated annealing using diferent metrics. We consider two kinds of image matching algorithms. The first one oriented on the whole image matching where we compare corresponding pixels or chosen image characteristics. The second one is oriented on finding the region in the target image (region of interest ROI) , which match best the ROI given in the template image. For our experiments we take the list of target images, directly from the atlas, and a subset of these images as the template images.

Keywords

systematic random gradient simulated annealing

How to Cite this Article

Noaman, D. K. M. G., & Saif, D. J. A. M. (2015). Effective Strategies for ROI and Image Matching. International Journal of Advanced Computer Science and Applications, 6(2). https://doi.org/10.14569/IJACSA.2015.060201

Noaman, Dr. Khaled M. G., and Dr. Jamil Abdulhamid M. Saif. "Effective Strategies for ROI and Image Matching." International Journal of Advanced Computer Science and Applications, vol. 6, no. 2, 2015, https://doi.org/10.14569/IJACSA.2015.060201.

@article{Noaman2015,
  title     = {Effective Strategies for ROI and Image Matching},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {2},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Dr. Khaled M. G. Noaman and Dr. Jamil Abdulhamid M. Saif},
  doi       = {10.14569/IJACSA.2015.060201},
  url       = {https://doi.org/10.14569/IJACSA.2015.060201}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA