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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Effective Strategies for ROI and Image Matching
Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060201
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 2, 2015.
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
Dr. Khaled M. G. Noaman and Dr. Jamil Abdulhamid M. Saif, “Effective Strategies for ROI and Image Matching” International Journal of Advanced Computer Science and Applications(IJACSA), 6(2), 2015. http://dx.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},
doi = {10.14569/IJACSA.2015.060201},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060201},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {2},
author = {Dr. Khaled M. G. Noaman and Dr. Jamil Abdulhamid M. Saif}
}
