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首页> 外文期刊>Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR >Color Texture Image Segmentation and Recognition through a Biologically Inspired Architecture
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Color Texture Image Segmentation and Recognition through a Biologically Inspired Architecture

机译:通过生物启发的体系结构对颜色纹理图像进行分割和识别

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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.
机译:在本文中,我们提出了一种用于识别彩色和纹理图像的多尺度神经体系结构。在对体系结构的描述和结果之前,先对人类视觉系统,用于图像分割的受生物启发的模型以及用于图像识别的基于ART的神经网络进行说明。与其他方法相比,所提出的体系结构实现了良好的分割和识别结果。

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