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Rotation Invariant Histogram of Oriented Gradients
Int. J. Fuzzy Log. Intell. Syst. 2011;11(4):293-298
Published online December 1, 2011
© 2011 .

Minkyu Cheon,Wonju Lee,Chang-Ho Hyun,Mignon Park
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this paper, we propose a new image descriptor, that is, a rotation invariant histogram of oriented gradients (RIHOG). RIHOG overcomes a disadvantage of the histogram of oriented gradients (HOG), which is very sensitive to image rotation. The HOG only uses magnitude values of a pixel without considering neighboring pixels. The RIHOG uses the accumulated relative magnitude values of corresponding relative orientation calculated with neighboring pixels, which has an effect on reducing the sensitivity to image rotation. The performance of RIHOG is verified via the index of classification and classification of Brodatz texture data.
Keywords : Rotation invariant histogram of oriented gradients,Relative orientation,Relative magnitude,Index of classification,Texture classification