Using Gabor filter for the illumination invariant recognition of color texture

  • Authors:
  • Mohammed Al-Rawi;Jie Yang

  • Affiliations:
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, PR China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, PR China

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2008

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Abstract

We derive Gabor feature matrices that are used to recognize color texture independent of illumination changes. The feature depends on Gabor energy feature in which we derive a multi-band Gabor energy feature matrix. We also prove that two Gabor energy feature matrices such that represent two corresponding textures under different illumination are related by a linear transform. Experimental results show that the model is successful in recognizing color texture independent of the change in the spectral illuminations.