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cooccurence matrix feature-cooccurence matrix feature
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Matlab程序独立打包与混合编程的研究
Matlab程序的独立打包指的是不借用其他语言的混合编
程方法， 而只使用Matlab本身提供的打包工具实现Matlab程序
在未安装Matlab的机器上运行的方法。-Matlab is a good large-scale numerical simulation software.the program run in an explain implementation mode.It has a lot of
feature,for
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his little function rounds a number (or the elements of a vector ot matrix) towards the nearest number with N significant digits.
Examples:
roundsd(0.012345,3) returns 0.0123
roundsd(12345,2) returns 12000
This is a useful complement
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matlab最全纹理特征代码，灰度共生矩阵软件自带，就不传了。里面有tamura六个参数，灰度梯度共生矩阵的纹理特征，还有熵。-matlab the best texture feature code, the GLCM software comes not passed. Tamura six parameters, the shades of gray co-occurrence matrix texture features, as well as entropy.
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MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso propo
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This code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matr
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用matlab自带的聚类函数进行聚类，输入为特征矩阵，输出的是聚类图-Clustering clustering comes with matlab function, input feature matrix, the output is dendrogram
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LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera. The stereo version is b
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matlab基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵
输入图像数据 返回八维纹理特征行向量
-Matlab co-occurrence matrix texture feature extraction, based on the d=1, theta =0 degrees, 45 degrees, 90 degrees, 135 degrees four matrix
The input image data to return to the
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最终的权值矩阵就是滤波器的系数，基于matlab GUI界面设计,结合PCA的尺度不变特征变换(SIFT)算法。- The final weight matrix is ??the filter coefficient, Based on matlab GUI interface design, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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一个计算声子晶体结构的一维传递矩阵法,在MATLAB中求图像纹理特征，Relief计算分类权重。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, In the MATLAB image texture feature, Relief computing classification weight.
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matlab 随机森林,可以直接使用，输入为特征矩阵，输出为目标值-Matlab random forest, can be used directly, the input feature matrix, the output value of the target
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最终的权值矩阵就是滤波器的系数，利用matlab针对图像进行马氏距离计算 ,是学习PCA特征提取的很好的学习资料。- The final weight matrix is ??the filter coefficient, Using matlab to calculate the Mahalanobis distance for the image, Is a good learning materials to learn PCA feature extraction.
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Frangi最初提出的计算Hessian矩阵，计算特征值，构造血管增强函数，进行血管增强，Matlab代码，可直接运行。特征值计算为c语言代码，容易将整个算法转化为C或C++，非常有用。(Frangi was first proposed to calculate the Hessian matrix, to calculate the eigenvalues, to construct the vascular enhancement function, to carry out the va
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本程序包是运用MATLAB进行图像矩阵特征的识别(This package is an image matrix feature recognition using MATLAB)
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