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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.
Increase Efficiency of SURF using RGB Color Space
Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060810
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 8, 2015.
Abstract: SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in the human vision system. Many objects can be unmatched if their color contents are ignored. To overcome this drawback this paper proposed a method CSURF (Color SURF) that combines features of Red, Green and blue layers to detect color objects. It edits matched process of SURF to be more efficient with color space. Experimental results show that CSURF is more precious than traditional SURF and CSURF invariant to RGB color space
Keywords: SURF; Features; Local Features; Color Space
M. Wafy and A. M. M. Madbouly, “Increase Efficiency of SURF using RGB Color Space” International Journal of Advanced Computer Science and Applications(IJACSA), 6(8), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060810
@article{Wafy2015,
title = {Increase Efficiency of SURF using RGB Color Space},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060810},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060810},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {8},
author = {M. Wafy and A. M. M. Madbouly}
}
