NDLI: Color Texture Histograms for Natural Images Interpretation

Content Provider	IEEE Xplore Digital Library
Author	Avia-Cervantes, J.G. Ledezma-Orozco, S. Torres-Cisneros, M. Hernandez-Fusilier, D. Gonzalez-Barbosa, J. Salazar-Garibay, A.
Copyright Year	2007
Description	Author affiliation: INRIA Sophia Antipolis, Sophia Antipolis (Salazar-Garibay, A.) \|\| CICATA-IPN, Queretaro (Gonzalez-Barbosa, J.) \|\| Fac. de Ing. Mec., Univ. of Guanajuato, Salamanca (Avia-Cervantes, J.G.; Ledezma-Orozco, S.; Torres-Cisneros, M.; Hernandez-Fusilier, D.)
Abstract	This paper presents a recognition method for natural images based on color texture histograms in the context of image interpretation and scene modeling. A color histogram of sums and differences is proposed to obtain texture features which are faster to compute than correlograms ( i.e., colored version of co-occurrence matrices) and improving substantially object recognition. Outdoor natural images are generally affected by color casting artifacts which can affect object recognition. Therefore, an on-line color balancing algorithm based on chromatic adaptation models, eliminates these color deviations. The proposed approach globally involves functions as color segmentation, histogram texture analysis and a region recognition step. Our approach has been extensively tested and validated to obtain an accurate 2D scene interpretation from natural images. This technique may be used in robot navigation by identifying navigable regions ( e.g., roads or fairly flat surfaces) on natural scenes, scene modeling and image categorization.
Starting Page	131
Ending Page	140
File Size	1003148
Page Count	10
File Format	PDF
ISBN	9780769531243
DOI	10.1109/MICAI.2007.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-04
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Adaptation model Color Object recognition Image texture analysis Texture Histograms Casting Image segmentation Image color analysis Layout Scene Interpretation Context modeling
Content Type	Text
Resource Type	Article

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