搜索资源列表
texturefeature
- 基于Gabor滤波的泡沫图像纹理特征提取方法-The surface texture of flotation froth is an important indicator of flotation production performance,a method for froth image texture extraction based on Gabor filter is presented to obtain the dis
wenlichengxu
- 用matlab编写的用于提取图像纹理特征提取
LIANGDU
- 基于亮度直方图的纹理特征，包含均匀度、平滑度、一致性、熵等六个特征。-Brightness histogram-based texture features, including uniformity, smoothness, uniformity, entropy and other six characteristics.
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.
texturefeatures
- 这个程序是纹理特征提取的提取，很实用的程序-This procedure is the extraction of texture feature extraction, the procedure is very useful
GrayMatrix
- 图像纹理特征描述了在图像中反复出现的局部模式和它们的排列规则，反应宏观意义上灰度变化的一些规律，编程实现基于灰度共生矩阵的图像纹理特征提取-Image texture features described in the repeated images of local models and their regular arrangement, the reaction intensity changes in the macro sen
code
- matlab编写的图像纹理特征提取算法，附有一张纹理图像，对于纹理特征提取，该算法很有效！-matlab write feature extraction of image texture, with a texture image for texture feature extraction, the algorithm is very effective!
Gabor
- 纹理特征提取 garbo小波技术实现纹理特征提取-texture based on Gabor
graymatrix
- IEEE文章和改进的灰度共生矩阵，结构统计方法，用来提取图像纹理特征-IEEE paper and Improved GLCM, the structure of statistical methods used to extract the image texture features
textture-feature
- 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-Co-occurrence matrix based texture feature extraction, d = 1, θ = 0 °, 45 °, 90 °, 135 ° total of four matrices, the use of gray-scale images are 256
Texture
- 提取图片的纹理特征，通过扫描图像的每一行和每一列，记录不同像素对的个数，构建一个特征矩阵。-Image texture features extracted by scanning the image of each row and each column, record the number of different pixels on to build a feature matrix.
LBP--texture-exration
- LBP算法实现图像的纹理特征提取（局部二值模式）-LBP algorithm feature extraction image texture
gabor_texture
- gabor小波图片纹理特征提取，MATLAB编码，效果不错！-gabor wavelet image texture feature extraction, MATLAB code, good results!
2
- 文章名为基于小波变换的图像纹理特征提取技术.：纹理是一种区域特征，是对于图像各像元之间的空间分布的一种描述。由于纹理能充分利用图像信息，无论从理论 上或常识上出发它都显然应该成为描述与识别图像的重要依据，同时与其它图像特征相比，它似乎能更好地兼顾图像宏观 性质与细微结构两个方面，因此纹理分析成为图像分析的重要手段。它被广泛的应用于气象云图分析、卫星遥感图像分析、 机器人视觉、工业监控、场景分析、辅助医疗、生物组织和细胞的显微
纹理特征提取
- 能提取出纹理特征 检测效果很好(Image detection based on ant colony algorithm, the detection effect is very good)
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)
3
- 3 基于灰度共生矩的SAR图像纹理特征提取方法 3 based on gray symbiotic matrix of SAR image texture feature extraction method(3 based on gray symbiotic matrix of SAR image texture feature extraction method)
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)
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
常用纹理特征提取方法_MATLAB
- 常见的基于纹理特征提取方法，如高波，LBP算法(Common methods based on texture feature extraction, such as Gao Bo, LBP algorithm)