Article Search
닫기

Int. J. Fuzzy Log. Intell. Syst. 2011; 11(4): 293-298

Published online December 1, 2011

© The Korean Institute of Intelligent Systems

Rotation Invariant Histogram of Oriented Gradients

Minkyu Cheon,Wonju Lee,Chang-Ho Hyun,Mignon Park

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

Article

Int. J. Fuzzy Log. Intell. Syst. 2011; 11(4): 293-298

Published online December 1, 2011

Copyright © The Korean Institute of Intelligent Systems.

Rotation Invariant Histogram of Oriented Gradients

Rotation Invariant Histogram of Oriented Gradients

Minkyu Cheon,Wonju Lee,Chang-Ho Hyun,Mignon Park

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

Share this article on :

Most KeyWord