搜索资源列表
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matlab filters for texture classification
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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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this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
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This paper presents a new classification algorithm using
colour and texture for obstacle detection. Colour information is
computationally cheap to learn and process. However in many cases,
colour alone does not provide enough information for cl
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基于纹理的形状恢复和纹理的应用,利用离散小波框架模极值共生距阵的分类算法，能够很好的修得复大块缺损的图像-Based on the shape and texture, using the texture application framework of discrete wavelet modulus maximum symbiosis of classification algorithm is very good, can you answer large defect image
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LBP (local binary Pattern ) useful for 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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Malignancy Texture Classification in Digital Mammograms based on Chebyshev
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matlab code for texture classification
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基于LiDAR高度纹理和神经网络的地物分类.LiDAR height based on texture and neural network classification of surface features.-LiDAR height based on texture and neural network classification of surface features.
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texture and remote classification by using A-texture and remote classification by using ANN
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Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
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Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutuall
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LBP算法实现图像的纹理分类K -LBP algorithm of image texture classification
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用lbp实现纹理特征提取，并分类说明:
一共有三个m文件，一个是lbp.m, 存放主要的lbp算法，
一个是getmapping,用以做算法的辅助函数，
一个是lbptest.m,存放着测试代码。
这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片，
具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图
这三个文件是最传统的LBP方法，有256种。-With lbp achieve texture feature ext
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This paper proposes and evaluates a promising technique
used for liver segmentation that can be used as the first step in
liver treatment planning. It is based on texture feature
analysis obtained from 3D DCT block coefficients, support
vecto
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基于压缩感知思想的图像分块压缩与重构方法
考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计
和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改
进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了
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利用gabor算法对图像纹理特征提取，并且送入极限学习机中进行学习分类-Use gabor feature extraction algorithm for image texture, and into the ultimate learning machine learning classification
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This code use for image texture classification use packet wavelet first level
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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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