搜索资源列表
Calculates-cooccurrence-matrix
- 基于纹理特征提取灰度共生矩阵用于纹理判断-Extract gray level co-occurrence matrix based texture features for texture judgment
statmoments
- 灰度共生矩阵提取图像纹理特征的需要，这里有部分纹理特征的提取程序代码。-GLCM the need to extract image texture features, part of the texture feature extraction code.
GLDM
- 基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，-GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,
graycopropswy
- 利用灰度共生矩阵提取SAR图像纹理特征，可提取：熵‘对比度、同质性、能量等特征。-GLCM to extract SAR image texture features can be extracted: entropy ' contrast, homogeneity, energy and other features.
GTTexturer
- 计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量 -Computing to GLCM the Matlab program, the reference input color space and texture feature-based image retrieval, image data, return to the eight-dimensional texture feature row vector
T_Features
- 使用OPENCV实现的Tamura纹理特征，基于灰度共生矩阵的纹理特征-Use the OPENCV to achieve Tamura texture features based on GLCM texture features
co_occurrence-matrix
- 灰度共生矩阵 在提取纹理特征时存在的问题，提出一种基于方块编码（BTC）的图像纹理特征的检索算法。 -gray level co-occurrence matrix A novel image retrieval method based on block truncation coding(BTC) is proposed to solve the problems of gray level co-occurrence matrix
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.
glcm
- 利用灰度共生矩阵提取纹理特征图像，证明了灰度共生矩阵提取的纹理特征对图像分类精度起到了提高的作用-Gray Level Co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the
gray-matrix
- 用matlab编写的关于灰度共生矩阵的源代码，对于纹理特征的研究有重要意义。-Written using matlab the GLCM source code is important for the study of texture features.
glcm
- 基于灰度共生矩阵glcm纹理特征的SAR图像特征提取，图像分割-SAR image feature extraction , image segmentation based on the glcm texture features
texture
- 灰度共生矩阵提取图像纹理特征，可输入rgb图像，出来的结果较为清晰。带文字说明-GLCM texture features extracted images translate
coocurrence
- 纹理特征提取的matlab源代码，用灰度共生矩阵做的，最终得到一个8维的纹理特征向量。-Texture feature extraction matlab source code, the GLCM do eventually get an 8-dimensional texture feature vector.
GrayShow
- 基于灰度共生矩阵的图像纹理特征计算程序。-GLCM-based texture feature calculation procedure.
ColoraTexture-Search
- 基于颜色和纹理的综合图像检索方法论文，图像部分采用颜色直方图方法，纹理部分采用灰度共生矩阵特征向量方法-Integrated based on color and texture image retrieval papers, part of the image using the color histogram method, part of the use GLCM texture feature vector approach
xiacaiyangPGLCM
- 程序主要实现了在下采样小波变换的基础上加入了灰度共生矩阵来实现图像纹理特征的提取- Program achieved a lower sampling based on wavelet transform GLCM added to achieve the image texture feature extraction
wenlitezheng
- 该程序是通过计算灰度共生矩阵来获得图像纹理特征的，获得的纹理特征可用于进一步对图像的融合、图像的分析等方面。-The procedure is done by calculating GLCM to get the image texture features, texture features obtained can be used to further the image fusion, image analysis and so on.
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
huidu
- 灰度共生矩阵提取纹理特征可用于图像纹理特征提取-GLCM texture