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Description: glcm_texture纹理分析算法源码，将其拷贝进入imageJ（一图像分析软件，源码已上传）的filter文件夹后即可在imageJ菜单栏的filter类出现，用于纹理分析。但有一缺点，即目前只能进行方框ROI分析，不能对非方框ROI即不规则ROI进行分析。对不规刚ROI的算法源码正在编写中。-glcm_texture texture analysis algorithm source code to copy into imageJ (an image analysis software source uploaded) filter folder ready imageJ menu bar in the emerging category filter, for texture analysis. However, a drawback that the present box only for ROI analysis, not right that is non-Box ROI irregular ROI analysis. The regulations do not just ROI algorithm source code is under preparation.
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Author: 郑元义 |
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Description: 基于类别共生矩阵的纹理疵点检测方法 邹超 朱德森 肖力
摘要：根据有规则纹理的特点，提出了基于类别的共生矩阵来描述纹理特征，从而很好地将正常纹理与疵点区分开。分析了传统的灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差的缺点．为了克服灰度共生矩
阵在计算量和分辨能力上的缺点，定义了类别共生矩阵．在类别共生矩阵的算法中，首先学习纹理的一些基本特征以确定类别共生矩阵的一些关键参数。如纹理的概率密度分布、纹理的主方向和周期，以及分类准则等重要参数，然后计算类别共生矩阵并提取白疵点增强、黑疵点增强和一致度等三个特征，最后采用异常点检测的方法即可很好地区分正常纹理和疵点．实验证明，该方法比已有的灰度共生矩阵计算量小，并具有更突出的分辨纹理和疵点的能力．-Class-Based Co-occurrence Matrix Texture defect detection method ZOU Chao Zhu Sen Xiao Li
Abstract: According to the rules-texture features is proposed based on categories of co-occurrence matrix to describe the texture features, which will be well distinguished from the normal texture with defects. Analysis of the traditional GLCM texture features in the calculation for calculating the volume, and the disadvantage of poor resolution. In order to overcome the symbiotic Gray Moment
Array in the calculation of capacity and the ability to distinguish the shortcomings of the definition of the categories of co-occurrence matrix. In the categories of co-occurrence matrix algorithm, first learn some basic features of the texture in order to determine the categories of some of the key parameters of co-occurrence matrix. Such as the texture of the probability density distribution of the main texture direction and cycles, as well as the classification criteria and other important parameters,
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Author: 李峰 |
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Description: 此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高-This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress
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Author: 袁浩然 |
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Description: 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像
块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借
助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统
方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence matrix of similarity search algorithm, the first image into non-overlapping sub-image block, the sub-image blocks of pixels gray Cibie reset each pixel grayscale value 0 or l, then the image re-divided into sub-blocks, pair block coding, and finally extracted with co-occurrence matrix eigenvalues in different directions to retrieve similar images. Experimental results show that the algorithm for image similarity retrieval method than the traditional GLCM, CCM is more effective and efficient retrieval, more importantly, the algorithm can also respond in different directions on the image similarity.
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Size: 416768 |
Author: 周二牛 |
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Description: 灰度共生矩阵算法 vc++实现 -GLCM algorithm vc++ Realize GLCM algorithm vc++ Realize
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Size: 9216 |
Author: 樟树 |
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Description: GLCM_Features1 helps to calculate the features from the different GLCMs
that are input to the function. The GLCMs are stored in a i x j x n
matrix, where n is the number of GLCMs calculated usually due to the
different orientation and displacements used in the algorithm. Usually
the values i and j are equal to NumLevels parameter of the GLCM
computing function graycomatrix(). Note that matlab quantization values
belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}
-GLCM_Features1 helps to calculate the features from the different GLCMs
that are input to the function. The GLCMs are stored in a i x j x n
matrix, where n is the number of GLCMs calculated usually due to the
different orientation and displacements used in the algorithm. Usually
the values i and j are equal to NumLevels parameter of the GLCM
computing function graycomatrix(). Note that matlab quantization values
belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}
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Size: 4096 |
Author: almosawi |
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Description: 图像纹理特征提取算法：灰度共生矩阵、像元形状指数-Texture feature extraction algorithm: GLCM, pixel shape index. .
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Author: lihe |
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Description: glcm mean in matlab by armin moghimi devloped GLCM_Features1 helps to calculate the features from the different GLCMs
that are input to the function. The GLCMs are stored in a i x j x n
matrix, where n is the number of GLCMs calculated usually due to the
different orientation and displacements used in the algorithm. Usually
the values i and j are equal to NumLevels parameter of the GLCM
computing function graycomatrix(). Note that matlab quantization values
belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}
as provided in some references
http://www.mathworks.com/access/helpdesk/help/toolbox/images/graycomatrix
.html-glcm mean in matlab by armin moghimi devloped GLCM_Features1 helps to calculate the features from the different GLCMs
that are input to the function. The GLCMs are stored in a i x j x n
matrix, where n is the number of GLCMs calculated usually due to the
different orientation and displacements used in the algorithm. Usually
the values i and j are equal to NumLevels parameter of the GLCM
computing function graycomatrix(). Note that matlab quantization values
belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}
as provided in some references
http://www.mathworks.com/access/helpdesk/help/toolbox/images/graycomatrix
.html
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Size: 6144 |
Author: armin |
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Description: 使用Opencv2.4.5求灰度共生矩阵，内含Matlab版纹理分析算法-Use Opencv2.4.5 seeking GLCM, containing Matlab version texture analysis algorithm
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Size: 14336 |
Author: 龙哥 |
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Description: 三维地震图像信号灰度共生矩阵纹理提取，两个文件，一个是灰度共生矩阵，另一个是5中纹理属性。毕业设计副产品有效。-the texture feature extraction of 3D seismic image signals using GLCM.Two file,the first one is GLCM algorithm,another one is seismic texture attribute.A by-product of undergraduate thesis,and it works well.
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Size: 1024 |
Author: fengruoyu |
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Description: 模式识别中的bayes判别分析算法，最终的权值矩阵就是滤波器的系数，经典的灰度共生矩阵纹理计算方法。- Pattern Recognition bayes discriminant analysis algorithm, The final weight matrix is ??the filter coefficient, Classic GLCM texture calculation method.
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Size: 5120 |
Author: 董传宁 |
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Description: 经典的灰度共生矩阵纹理计算方法，外文资料里面的源代码，使用matlab实现智能预测控制算法。- Classic GLCM texture calculation method, Foreign materials inside the source code, Use matlab intelligent predictive control algorithm.
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Size: 4096 |
Author: 张来斌 |
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Description: 使用matlab实现智能预测控制算法，经典的灰度共生矩阵纹理计算方法，可以提取一幅图中想要的目标。- Use matlab intelligent predictive control algorithm, Classic GLCM texture calculation method, Target can be extracted in a picture you want.
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Size: 4096 |
Author: 雷敏芳 |
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Description: 经典的灰度共生矩阵纹理计算方法，相关分析过程的matlab方法，一种流形学习算法（很好用）。- Classic GLCM texture calculation method, Correlation analysis process matlab method, A fluid manifold learning algorithm (good use).
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Size: 5120 |
Author: 程军锋 |
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Description: 经典的灰度共生矩阵纹理计算方法，比较了软阈值，硬阈值及当今各种阈值计算方法,cordic算法的matlab仿真。- Classic GLCM texture calculation method, Comparison of soft threshold and hard threshold and today various threshold calculation method, cordic matlab simulation algorithm.
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Size: 5120 |
Author: 谭磊 |
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Description: 连续相位调制信号(CPM)产生，经典的灰度共生矩阵纹理计算方法，最小均方误差等算法的MSE的计算。- Continuous phase modulation signal (CPM) to produce, Classic GLCM texture calculation method, Minimum mean square error MSE calculation algorithm.
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Size: 7168 |
Author: 陈锦艳 |
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Description: 遗传算法无功优化，经典的灰度共生矩阵纹理计算方法，最终的权值矩阵就是滤波器的系数。- Genetic algorithm based reactive power optimization, Classic GLCM texture calculation method, The final weight matrix is ??the filter coefficient.
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Size: 13312 |
Author: 李志 |
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Description: 灰度共生矩阵建立在估计图像的一阶组合条件概率密度函数的基础上, 其通过计算图像中有一定距离和一定方向的两点之间灰度的相关性, 反映图像在方向、间隔、变化幅度及快慢上的综合信息。-The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the algorithm. Usually the values i and j are equal to NumLevels parameter of the GLCM computing function graycomatrix(). Note that matlab quantization values belong to the set {1,..., NumLevels} and not {0,...,(NumLevels-1)} as provided in some references
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Size: 1024 |
Author: 宋超 |
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Description: 详细的基于纹理的图像分割算法 灰度共生矩阵实现代码，实现效果比较满意(Detailed texture based image segmentation algorithm, gray co-occurrence matrix implementation code, to achieve satisfactory results)
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Size: 203776 |
Author: ljLJ
|
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Description: 这是一篇关于图像纹理特征提取的期刊，文中结合了LBP和GLCM两种基本的纹理算法，对于做纹理提取的同学有一定的帮助(This is a feature extraction of images on the image of the journal, the text of the combination of LBP and GLCM two kinds of basic texture algorithm, for the students to do texture extraction)
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Author: 21qeadfds |
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