A Hybrid Method for Improving the Color Constancy in Images

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Abedini, Zeinab | 2013

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44356 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Jamzad, Mansour
Abstract:
The ability of measuring colors of objects, independent of light source illumination, is called color constancy which is an important field in machine vision and image processing. In this thesis, we propose five new combinantional ways in color constansy fields. The first two proposed methods use neural networks to combining basic methods. The third and forth proposed methods use fuzzy measures and integrals for combining color constancy methods. And finally fifth method combines methods with indoor outdoor classification this method has the best result (3.01 median angular error) in proposed methods and past methods in color constancy fields. It is shown in this article that the proposed methods perform better than basic methods for color constancy
Keywords:
Fuzzy Integral ; Neural Network ; Fuzzy Measures ; Color Constancy ; Gray World Assumption ; Indoor Classification Image ; Outdoor Classification Image

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