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Texture-feature-code-matlab
- 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.
GLMCandLBPextraction
- 第一个程序提取了图像灰度级为64的灰度共生矩阵，并计算了能量，熵，对比度，相关性，逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征，可以提取采样点为8、16、24的统一模式（u2）、旋转不变模式（ri）、统一旋转不变模式（riu2）的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse
glcm
- This program calculates the texture features of a given image based on the grey level co-occurences. Instead of creating a matrix of the co-occurences (GLCMs), this program implements -This program calculates the texture features of a given im
GLCM
- 基于matlab 提取纹理灰度共生矩阵 源代码-Based on the co-occurrence matrix matlab source code to extract the texture of gray
glcmaa1
- 标准的GLCM纹理分析往往没有得到好的结果，除非大量使用全局类（使用大量的类，带来其他问题）。使用本地类可以帮助，但结果对噪声很敏感。本程序采用加权区域采样大大提高全局和局部灰度共生矩阵纹理分析的结果。-Standard GLCM texture analysis is often not good , except for a large number of global classes (which use a large number of classes to bring other p
fuibang_v14
- 合成孔径雷达（SAR)目标成像仿真，经典的灰度共生矩阵纹理计算方法，现代信号处理中谱估计在matlab中的使用。- Synthetic Aperture Radar (SAR) imaging simulation target, Classic GLCM texture calculation method, Modern signal processing used in the spectral estimation in matlab.
kinggeng_v89
- 经典的灰度共生矩阵纹理计算方法，本程序的性能已经达到较高水平，包含收发两个客户端程序。- Classic GLCM texture calculation method, The performance of the program has reached a high level, Transceiver contains two client programs.
banfiu_v49
- 合成孔径雷达（SAR)目标成像仿真，LDPC码的完整的编译码，经典的灰度共生矩阵纹理计算方法。- Synthetic Aperture Radar (SAR) imaging simulation target, Complete codec LDPC code, Classic GLCM texture calculation method.
bangyui_V7.2
- 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.
mungun_v29
- 现代信号处理中谱估计在matlab中的使用，包括脚本文件和函数文件形式，经典的灰度共生矩阵纹理计算方法。- Modern signal processing used in the spectral estimation in matlab, Including scr ipt files and function files in the form, Classic GLCM texture calculation method.
tailai_v26
- 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.
muikei_v14
- sar图像去噪的几种新的方法，保证准确无误，是学习通信的好帮手，经典的灰度共生矩阵纹理计算方法。- Several new methods sar image denoising, Ensure accurate communication is learning a good helper, Classic GLCM texture calculation method.
banglao
- 经典的灰度共生矩阵纹理计算方法，使用拉亚普诺夫指数的公式，光纤陀螺输出误差的allan方差分析。- Classic GLCM texture calculation method, Raya Punuo Fu index us
fuiqao_v89
- 计算十字叉丝的在不同距离的衍射图像,基于人工神经网络的常用数字信号调制，经典的灰度共生矩阵纹理计算方法。- Calculation crosshairs diffraction image at different distances, The commonly used digital signal modulation based on artificial neural network, Classic GLCM texture calculation method.
nunhun
- 可以实现模式识别领域的数据的分类及回归，经典的灰度共生矩阵纹理计算方法，均值便宜跟踪的示例。- You can achieve data classification and regression pattern recognition, Classic GLCM texture calculation method, Example tracking mean cheap.
biekao
- 经典的灰度共生矩阵纹理计算方法，给出接收信号眼图及系统仿真误码率，二维声子晶体FDTD方法计算禁带宽度的例子。- Classic GLCM texture calculation method, The received signal is given eye and BER simulation systems, Dimensional phononic crystals FDTD method calculation examples band gap.
kingnao
- 经典的灰度共生矩阵纹理计算方法，在matlab R2009b调试通过，考虑雨衰 阴影 和多径影响。- Classic GLCM texture calculation method, In matlab R2009b debugging through, Consider shadow rain attenuation and multipath effect.
heineng_V8.2
- 经典的灰度共生矩阵纹理计算方法，微分方程组数值解方法，有较好的参考价值。- Classic GLCM texture calculation method, Numerical solution of differential equations method, There are good reference value.
GLCMFeatures
- he Gray Level Co-occurrence Matrix1 (GLCM) and associated texture feature calculations are image analysis techniques. in matab
texture analysis
- A statistical method of examining texture that considers the spatial relationship of pixels is the gray-level co-occurrence matrix (GLCM), also known as the gray-level spatial dependence matrix. The GLCM functions characterize the texture of an ima