搜索资源列表
texture.rar
- 图像的纹理分析，共生矩阵等
imageproccess
- 关于纹理的特征计算程序 包括对比度,能量,熵,局部平稳,共生矩阵的计算.-texture of the program features include contrast, energy, entropy, local stable, symbiotic matrix calculations.
image-textual-analysis
- 计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classificat
liverrecognize
- 超声图像识别算法：共生矩阵提取纹理特征，神经网络、模板匹配、贝叶斯方法识别-liver recognize project
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
灰度共生矩阵用于图像分类
- 灰度共生矩阵用于图像分类，仿真环境为matlab
GLCM+train
- 利用灰度共生矩阵提取图像特征。。。。。。(Extracting image features using gray level co-occurrence matrix)
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
grayco
- 用3*3邻域计算每一个像素的灰度共生矩阵并计算对应的特征参数，最后再选择特定目标区域内的像素，计算在目标区域内的像素所对应的特征参数的均值和方差(Calculation of characteristic parameters of each pixel gray level co-occurrence matrix and calculate the corresponding 3*3 neighborhood, then select the specific pixels within t
GLCM.tar
- 输入一张图片的mat矩阵，生成四个不同方向的灰度共生矩阵特征值！(Four gray co-occurrence matrix eigenvalues are generated in different directions)
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)
4
- 基于灰度共生矩阵纹理特征的SAR图像分割 the SAR image segmentation based on gray level co-occurrence matrix texture feature(the SAR image segmentation based on gray level co-occurrence matrix texture feature)
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- 基于空间灰度共生矩阵木材纹理分类识别的研究_王晗(based on spatial gray level co-occurrence matrix _ Wang Han wood texture classification recognition research)
灰度共生矩阵
- 遥感图像处理，研究灰度的空间相关特性来描述纹理的常用方法，编程实现(Remote sensing image processing.Study the spatial correlation characteristics of grayscale to describe the texture of the commonly used methods. Programming implementation.)
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.)
glcm
- 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
GLCM
- 该程序可以准确地计算图像的灰度共生矩阵中的各项数值。(it can calculate various parameters of Gray-level co-occurrence matrix for an image)
GCLM
- 灰度共生矩阵特征提取以及hog特征提取matlab代码(Feature extraction of grayscale symbiotic matrix)
灰度共生矩阵
- 利用基于统计学的灰度共生矩阵的方法，解决图像特征分析与提取。
glcm
- 基于SKimage的库函数，实现了求解灰度共生矩阵并计算想应特征统计量(Gray-level Co-occurrence Matrix)