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

被引：0
|
作者：
Antón-Rodríguez M. [1 ]
González-Ortega D. [1 ]
Díaz-Pernas F.J. [1 ]
Martínez-Zarzuela M. [1 ]
Díez-Higuera J.F. [1 ]
机构：
[1] Higher School of Telecommunications Engineering, University of Valladolid, Valladolid
来源：
Pattern Recognition and Image Analysis | 2012年 / 22卷 / 1期
关键词：
Adaptive Resonance Theory; Human Visual System; image segmentation; neural architecture; texture recognition;
D O I：
10.1134/S1054661812010038
中图分类号：
学科分类号：
摘要：
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. © 2012 Pleiades Publishing, Ltd.
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页码：54 / 68
页数：14
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