Robust Color Texture Features Under Varying Illumination Conditions

Authors:
Umasankar Kandaswamy;Donald A. Adjeroh;Stephanie Schuckers;Allan Hanbury
Affiliations:
Department of Electrical and Computer Engineering, Lawrence Technological University , Southfield, MI, USA;Video and Image Processing (VIP) Lab, Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA;Biomedical Signal Analysis Laboratory (BioSAL), Department of Electrical and Computer Engineering , Clarkson University, Potsdam, NY, USA;Information and Software Engineering Group, Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2012

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Abstract

Under varying illumination, both the statistical and structural contents of color texture are modified, leading to changes in the observed texture surface. We model the effect of illumination as a perturbation on an ideal color texture and show that the spectra of the ambient light have a significant impact on the observed texture patterns in the individual color channels. Motivated by studies in human color constancy, we propose a correlation-based transformation that minimizes the effect of illumination variation in color texture analysis. Experimental results are included, which validate the performance of the proposed minvariance model in the analysis of color texture.