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Summary: This program do image classification .
Required Products: Image Processing Toolbox
Descr iption: A simple program for object extraction from images.
-Summary: This program do image classification .
Required Products: Image P
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的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出
了一种色彩纹理特征的提取模型,采用该模型,利用IGabor滤波器提取数字图像的色彩纹理特征,
并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别,并
成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合,增强了数
字图像之间的特征区分能力。-Study color digital image classification and recognition m
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Image Recognition and Classification by bahram jaividi
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讲了支持向量机关于分类的方法,利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification
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模糊C均值聚类算法,对图像进行分类,图像处理,多类划分,SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
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人脸稀疏分类研究,基于DD-DT CWT多字典的人脸特征稀疏分类方法-Face thinning classification, based on DD-DT CWT dictionary feature sparse classification method
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基于主成分分析与灰度(颜色)、纹理(灰度共生矩阵)的图像分类matlab程序(附示例图像)。-Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).
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一篇图像分类文章Image classification based on feature selection and SVMs-Image classification based on feature selection and SVMs
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【公益-免费】-》基于颜色和形状的交通标志检测与分类-[ ]-" free public service- based on the color and shape of the traffic sign detection and classification
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基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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遥感图像处理算法介绍,包括分类、融合、植物检测、变化检测等算法的具体介绍,是编程的基础和遥感的基础知识。-Remote sensing image processing algorithms introduced, including classification, fusion, specific descr iption of the plant detection, change detection algorithm is the basis of the programming and
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4种基本的lbp算法函数,实现图片纹理分类-Four basic LBP algorithm functions, realize image texture classification
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Image classification
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Textural Features for Image Classification-Texture is one of the important characteristics used in
identifying objects or regions of interest in an image, whether the image
be a photomicrograph, an aerial photograph, or a satellite image. This
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VC环境下编写的可以进行雷达图像水域提取分类的代码,已经调试通过-VC environment, written in the radar images waters to extract the classification code has been through debugging
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《图像模式识别》源码程序,分类程序,聚类程序,值得学习的好材料-Source image pattern recognition procedures, classification procedures, clustering program worth learning material
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基于内容的图像识别-支持向量机方法-8分类-Content-based image recognition- classification of support vector machines-8
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基于SVM的图像分类,由于支持向量机的分类能力极大地依赖于核参数的选取,因此,本文着重研究了核参数选择方法,并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
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此文档包含对卷积神经网络的描述及在图像处理中的应用,对学习卷积神经网络有重要帮助。-The work presented here
uses image classifi cation performance (accurate discrimination between common
classes of objects) as a basis for comparing visual system models, and algorithms
for fi
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MATLAB CODE FOR IMAGE CLASSIFICATION USING RBF NETWORK
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