搜索资源列表
feature
- 应用MATLAB编写的关于lbp与hog特征的提取代码,可直接应用-Applications written in MATLAB and hog on lbp feature extraction code, can be applied directly
GLMCandLBPextraction
- 第一个程序提取了图像灰度级为64的灰度共生矩阵,并计算了能量,熵,对比度,相关性,逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征,可以提取采样点为8、16、24的统一模式(u2)、旋转不变模式(ri)、统一旋转不变模式(riu2)的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse
CircleLBP
- LBP纹理特征能很好反应图像的局部特征,此贴程序图像圆形LBP提取程序-Round LBP image extraction procedures
Gobor_multi_LBP
- gabor_lpb纹理结合了gabor小波和LBP的特征,提取的纹理具有很好的鲁棒性-gabor_lpb texture combines gabor wavelets and LBP features extracted texture with a very robust
LBP_h
- 简单LBP实现,基于最原始的局部二值模式对于图片特征进行提取。-Simple experiment on LBP, we get pictures features based on initial Local Binary Pattern.
facial-expression-recognition
- 主要采用LBP+LPQ队表情特征进行提取,后用SVM的方法对表情进行分类识别-Mainly uses the LBP+LPQ team facial expression features to extract, after using the SVM method to classify the facial expression recognition
lbp1
- 局部二值模式(LBP),用于人脸识别局部文理特征的提取-Local binary pattern( LBP), local arts and feature extraction for Face Recognition
lmp
- 局部多值模式LMP,对lbp的改进算法,用于人脸识别局部文理特征的提取- Partial multiple- valued model LMP, improvements to the LBP algorithm for Face Recognition Feature extraction of local arts and sciences
CLBP
- 使用改进的LBP算法CLBP实现图像纹理特征的提取,并使用卡方统计方法计算类间距离并实现图像分布。本人已经实验,对15类病毒图像进行分类,不调任何参数的情况下实现67 以上的准确率。- Using an improved algorithm CLBP LBP texture feature extraction of image, and use the chi-square statistic calculated inter-class distance and achieve imag
MATLAB
- 图片常用纹理特征的提取方法集合,包括灰度共生矩阵,LBP,CABER等-the methods of texture feature extreation
huang
- 1维LBP算法,在一维上做LBP算法,用于提取微表情特征-1-dimension LBP,abstract microfacial expression features
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method