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Robust color texture features under varying illumination conditions
Umasankar Kandaswamy1, Donald A Adjeroh, Stephanie Schuckers
1Department of Electrical and Computer Engineering, Lawrence Technological University, Southfield, MI 48075, USA. usk@uchicago.edu
Summary
Illumination changes alter color textures. A new min-variance model, inspired by human color constancy, effectively minimizes these illumination effects for better texture analysis.
Area of Science:
- Computer Vision
- Image Processing
- Color Science
Background:
- Illumination variations significantly alter statistical and structural properties of color textures.
- Observed texture patterns are highly sensitive to the spectral characteristics of ambient light across color channels.
Purpose of the Study:
- To model the impact of varying illumination on color textures.
- To develop a method for robust color texture analysis invariant to illumination changes.
- To leverage principles of human color constancy for image analysis.
Main Methods:
- Modeling illumination as a perturbation on ideal color textures.
- Analyzing the spectral impact of ambient light on individual color channels.
- Proposing a correlation-based transformation inspired by human color constancy.
- Developing and validating a min-variance model for illumination-invariant color texture analysis.
Main Results:
- Demonstrated that ambient light spectra significantly influence observed texture patterns.
- The proposed correlation-based transformation effectively minimizes illumination variations.
- Experimental results validate the performance of the min-variance model.
Conclusions:
- The min-variance model offers a robust solution for color texture analysis under varying illumination.
- The approach effectively addresses the challenge of illumination-induced changes in texture appearance.
- This method has potential applications in computer vision and image processing where consistent texture recognition is crucial.
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