Color-texture image segmentation and recognition through a biologically-inspired architecture

Authors:
M. Antón-Rodríguez;D. González-Ortega;F. J. Díaz-Pernas;M. Martínez-Zarzuela;J. F. Díez-Higuera
Affiliations:
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain
Venue:
Pattern Recognition and Image Analysis
Year:
2012

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Abstract

In this paper, we present a multiple scale neural architecture for recognizing colored and textured images. The description and results of the architecture are preceded by an explanation of the Human Visual System, bio-inspired models for image segmentation, and ART-based neural networks used in image recognition. The presented architecture achieved good segmentation and recognition results in comparison to other methods.