Robust Color Texture Features Under Varying Illumination Conditions

被引:13
|
作者
Kandaswamy, Umasankar [1 ]
Adjeroh, Donald A. [2 ]
Schuckers, Stephanie [3 ]
Hanbury, Allan [4 ]
机构
[1] Lawrence Technol Univ, Dept Elect & Comp Engn, Southfield, MI 48075 USA
[2] W Virginia Univ, Video & Image Proc VIP Lab, Lane Dept Comp Sci & Elect Engn, Morgantown, WV 26505 USA
[3] Clarkson Univ, Dept Elect & Comp Engn, Biomed Signal Anal Lab BioSAL, Potsdam, NY 13699 USA
[4] Vienna Univ Technol, Informat & Software Engn Grp, Inst Software Technol & Interact Syst, A-1040 Vienna, Austria
基金
美国国家科学基金会;
关键词
Color texture classification; illumination invariants; minvariance model; VARIATIONAL OPTICAL-FLOW; CLASSIFICATION; RECOGNITION; RETRIEVAL; TRANSFORM; IMAGES;
D O I
10.1109/TSMCB.2011.2162400
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:58 / 68
页数:11
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