搜索资源列表
GLCM
- 灰度共生矩阵提取纹理特征，极快的MATLAB代码-GLCM texture feature extractionfast MATLAB code
texture-GLCM
- 经典的灰度共生矩阵纹理计算方法，基于matlab平台实现-The classic method of calculating GLCM texture, based on matlab platform
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.
glcm
- These Matlab code could be used for the calculation of texture attribute of seismic data.
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
Texture-Extraction-using-GLCM
- Matlab Texture Extraction
GLCM
- 计算图像的灰度共生矩阵，并且提取图像的纹理特征-Computing image s GLCM and extracting texture characteristics
gongshengjuzheng
- 用灰度共生矩阵提取五个纹理特征 包括：熵、均匀度、相关性、能量、对比度-Extraction of five GLCM texture characteristics，Include: entropy, uniformity, correlation, energy, contrast
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.
Bez_Sq_Err
- The classic method of calculating GLCM texture, based on matlab platform -The classic method of calculating GLCM texture, based on matlab platformThe classic method of calculating GLCM texture, based on matlab platform
Bezier_my
- The classic method of calculating GLCM texture, based on matlab platform
draw_diatom_exp
- calculating GLCM texture, based on matlab platform
fit_raphe4
- The classic method of calculating GLCM texture, based on matlab platform
GoldSection_nVar
- The classic method of calculating GLCM texture, based on matlab platform
Texture
- matlab中，利用灰度共生矩阵实现目标区域中纹理检测，可以直接放心的使用-matlab, using GLCM Texture Detection achieve the target area, you can rest assured that the use of direct
3glcm
- This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
grayfeature
- 使用灰度共生矩阵提取图像的纹理特征，通过提取的特征来表示一副图像，最终每幅图像被表示为51维的一维向量。-Use GLCM texture features extracted image feature extraction is represented by an image, and ultimately each image is represented as a one-dimensional vector of 51 dimensions.
texture-feature-extraction
- Texture detection using GLCM. GLCM describes four properties known as contrast, correlation, energy and homogeneity.
texture-feature
- 从图片中提取四种不同纹理特征，包括gabor、灰度共生矩阵、灰度直方图、灰度梯度共生矩阵纹理特征。-Four different texture features extracted the image, including gabor, GLCM, histogram, GGCM texture.
GLCM
- second-order statistical texture analysis using GLCM