International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Rotation Invariant Histogram of Oriented Gradients

  • Cheon, Min-Kyu (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Won-Ju (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Hyun, Chang-Ho (Division of Electrical Electronic and Control Engineering, Kongju National University) ;
  • Park, Mignon (School of Electrical and Electronic Engineering, Yonsei University)
  • Received : 2011.07.20
  • Accepted : 2011.11.02
  • Published : 2011.12.25
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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.

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References

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