搜索资源列表
共生矩阵
- 基于灰度共生矩阵的图像检索：用灰度共生矩阵提取图像的纹理特征进行检索-Gray symbiotic matrix based Image Retrieval : Gray symbiotic matrix extract the texture characteristics Search
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab
huidu
- 基于图像的灰度共生矩阵方法的图像纹理分割
图像纹理的灰度共生矩阵计算问题的分析
- 图像处理的最基本问题，灰度纹理共生矩阵的分析
glcmaa1
- 保真GLCM图像纹理分析。利用了基于灰度共生矩阵GLCM的纹理特征分析方法,对TM 6热红外波段影像进行目标信息的提取,以增强热辐射量大的亮温目标与背景图像的差异,从而实现对原始图像进行图像增强、实现目标信息提取的目的.-Image fidelity GLCM texture analysis
texture_extraction
- 基于灰度共生矩阵的图像纹理提取及灰度共生矩阵的计算-GLCM-based texture extraction and calculation of GLCM
HUIDU
- 基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。-Histogram based on image texture features were extracted, according to the four GLCM texture descr iptors obtained.
huidugongshengjuzhen
- 主要是关于灰度共生矩阵应用，其中将灰度共生矩阵从0，45，90，135四个方向进行了计算，并对共生矩阵能量、熵、惯性矩、相关4个纹理参数进行了计算，十分有用。-Mainly on the GLCM application, which will GLCM from 0,45,90,135 four directions were calculated, and the co-occurrence matrix of energy, entropy, moment of inertia, rela
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
纹理特征提取matlab
- matlab实现灰度共生矩阵提取纹理特征统计量
GLCM_Features1
- 这是一个GLCM 纹理特征提取的函数，可以支持zaimatlab上运行(Extracting GLCM texture feature)
GLCM
- MATLAB纹理特征提取，用来提取灰度共生矩阵的4个特征(MATLAB texture feature extraction)
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
huiduwenlitezhentiqu
- 是关于灰度纹理特征的提取，已运行测试通过，有需要可以下载了(It is about the extraction of gray texture features, has passed the test, there is a need to download it)
纹理特征提取
- MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interf
4
- 4基于灰度共生矩阵纹理特征的SAR图像分割 4 the SAR image segmentation based on gray level co-occurrence matrix texture feature(4 the SAR image segmentation based on gray level co-occurrence matrix texture feature)
GLCM method to extract features
- 实现灰度共生矩阵特征提取，对图像的纹理分析有用。(The gray level co-occurrence matrix feature extraction, useful for image texture analysis.)
纹理特征提取
- 应用灰度共生矩阵求解纹理特征并用熵，相关性，惯性矩，能量，局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled
新建文件夹
- 基于灰度共生矩阵的图像纹理特征提取，包括熵，能量，相关，均值，逆差矩等(Image texture feature extraction based on gray level co-occurrence matrix)
1纹理特征
- 对图像纹理特征进行提取，包括灰度共生矩阵、Lbp、小波等(Texture feature extraction of image, including gray level co-occurrence matrix, Lbp, wavelet and so on)