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Multiresolution Gray-Scale and Rotation
Invariant Texture Classification
with Local Binary Patterns作者写的LBP(局部二进制模式)的C++代码,Multiresolution Gray-Scale and RotationInvariant Texture Classificationwith Local Binary Patterns Author wrote LBP (local bina
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利用LBP纹理模型进行纹理分类，其论文<..Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching>发表在2009年Pattern Recognition，效果很不错。-Texture classification by LBP texture model. The related paper <..Rotation Invariant Texture Cl
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Gabor小波变换代码用于局部特征提取使用，又相当好的效果-Gabor texture descr iptor have gained much attention for
different aspects of computer vision and pattern recognition.
Recently, on the rayleigh nature of Gabor filter outputs
Rayleigh model Gabor texture descr ipt
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提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果.
-Based on the function connected perceptron neural network tex
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基于小波分析，使用线性回归模型来进行纹理的识别和分类，是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature.
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this texture classification-this is texture classification
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texture classification matlab code
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The purpose of this thesis is the development and analysis of photometric descr iptors for the
appearance of real life images. The two application areas included in this thesis are face
recognition and texture classification.
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Based on a local spatial/frequency representation,we
employ a spectral histogram as a feature statistic for texture classification.
The spectral histogram consists of marginal distributions
of responses of a bank of filters and encodes implicit
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有关纹理分类的经典综述文章,对纹理定义、纹理应用均有详细的描述-a review about texture classification
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Wavelet Texture classification example.
Features created using wavelet transform,and classified by A-Wavelet Texture classification example.
Features created using wavelet transform,and classified by ANN
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statistical feature evaluation for texture classification
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Malignancy Texture Classification in Digital Mammograms based on Chebyshev
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matlab code for texture classification
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遥感图像基于纹理特征的分类算法，英文文献，有详细设计-Remote sensing image classification algorithm based on texture features, English literature, a detailed design
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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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texture and remote classification by using A-texture and remote classification by using ANN
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基于压缩感知的纹理图像分类，介绍了一种新的高效算法：分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation
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多分辨率灰度和旋转不变纹理分类与定位二进制模式-multiresolution gray scale and rotation invariant texture classification with location binary patterns
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这是利用LBP纹理模型进行纹理分类，运行过，效果不错，-This is the use of LBP texture model for texture classification, run over, the effect is good,
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