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Research Article | Open Access |

Increase Efficiency of SURF using RGB Color Space

Author 1: M. Wafy Author 2: A. M. M. Madbouly
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 8 · Published 2015

DOI: 10.14569/IJACSA.2015.060810

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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

How to Cite this Article

Wafy, M., & Madbouly, A. M. M. (2015). Increase Efficiency of SURF using RGB Color Space. International Journal of Advanced Computer Science and Applications, 6(8). https://doi.org/10.14569/IJACSA.2015.060810

Wafy, M., and A. M. M. Madbouly. "Increase Efficiency of SURF using RGB Color Space." International Journal of Advanced Computer Science and Applications, vol. 6, no. 8, 2015, https://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},
  volume    = {6},
  number    = {8},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {M. Wafy and A. M. M. Madbouly},
  doi       = {10.14569/IJACSA.2015.060810},
  url       = {https://doi.org/10.14569/IJACSA.2015.060810}
}

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Volume 17 No. 11, November 2026
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