搜索资源列表
wavelet-texture
- 基于小波的纹理特征提取代码,matlab环境,用于图像纹理特征提取-text feature selection using wavelet
Facial-Feature-Tarcking
- 研究优化人脸特征提取问题,针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪,并且解决单独采用Gabor 小波系统开销大等问题,为了在人脸图像中提取准确信息,提出了人脸特征点的跟踪方法,分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表 情变化不大的特征点使用光流法进行跟踪,最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research
advanced-harmonic-wavelet-packet
- 自己编的改进谐波小波包实现程序,实现了信号经过谐波小波包变换后幅值不变,适合于机械故障特征提取-The own series improved harmonic wavelet packet achieve signal amplitude unchanged after harmonic wavelet packet transform, for mechanical fault feature extraction
wavelet-packet-de_re
- 用小波工具箱函数实现小波包的分解与重构,非常适合与机械故障特征提取。-Wavelet packet decomposition and reconstruction, and is ideal for mechanical fault feature extraction using wavelet toolbox functions.
Wavelet-Entropy
- 文中从小波变换的角度出发,通过在尺 度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。 -Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
wavelet-transform
- 小波变换程序可以实现信号特征提取,图像处理等功能。-Wavelet transform procedure can achieve signal feature extraction, image processing and other functions.
Gabor_matlab
- matlab图像处理非常重要,Gabor小波提取特征,然后用支持向量机作分类器,可以用于掌纹,人脸,指纹识别-Gabor wavelet feature extraction, and then use the support vector machine classifier, can be used for palmprint, face, fingerprint recognition
detect_face
- 利用神经网络和高波小波特征进行人脸检测的Matlab源码-Using neural networks and high-wave wavelet feature face detection Matlab source
Wavelet-invariant-moments
- 利用小波不变矩进行图像特征的提取,里面有图 可以直接运行-Wavelet invariant moments for image feature extraction, which the Figure can directly run
Feature-Extraction-Using-Multisignal-Wavelet-Tran
- I am simply extracting three types of features from the wavelet transform coefficients, these include: energy, variance and waveform length. You can modify and extract any types of features as you need. ** You need the wavelet toolbox to run this c
The-wavelet-transform
- 利用小波变换来提取特征点,主要是通过小波系数的比较,提取关键点,再通过关键点匹配,实现图像配准。-Using wavelet transform to extract feature points, mainly through the comparison of wavelet coefficients, extract key points, and then through the critical point matching, to achieve image registration
gaborcreate
- 该代码描述了一种用Gar小波进行纹理特征提取方法,可用于图像分析、视频处理、以及模式识别前期建立模式向量。-The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.
Gabor_2dpca_pca
- Gabor小波提取特征,然后用支持向量机作分类器,可以用于掌纹,人脸,指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification.
Wavelet-Methods-for-Time-Series-Analysis-in-Matla
- This document describes the feature by feature the use of Wavelet Methods for Time Series Analysis.
51622420xiaobomatlabcode
- 基于GABOR小波对ORL人脸库进行特征提取,程序简单,适合初学者-With GABOR wavelet feature extraction in ORL face database, procedure is simple to understand For beginners
GaborFilter
- 基于GABOR小波对ORL人脸库进行特征提取,程序简单,适合初学者-With GABOR wavelet feature extraction in ORL face database, procedure is simple to understand For beginners
tiqu_ok
- 实现对信号的时域频域小波奇异值等特征提取-Realization of the signal in the time domain frequency domain wavelet feature extraction, such as singular value
Fabricdefect-feature-extraction-main
- 分析了目前织物疵点自动检测研究中特征提取的3 种主要算法:灰度 直方图法、灰度共生矩阵法及小波变换法。对3 种算法做了详细介绍,给出了具体的模型和公式,对3 种算法的研 究现状进行了阐述,详尽列出了近期相关的主要工作和研究进展 -Analysis of the current automatic fabric defect detection feature extraction in the study of three main algorithms: grayOf three ki
Matlab-wavelet-noise-removal
- 小波去噪程序,根据信号的频域特征对信号进行小波分解,然后去噪-program for artifact removal, this function is obtained based on the frequency feature of signal.
wavelet
- 基于小波的纹理特征,小波四层分解,特征向量含有均值、标准差、空间频率等,共13*4个特征。-Based on texture feature of wavelet, wavelet decomposition, four layers of characteristic vector containing the mean, standard deviation, such as spatial frequency, a total of 13* 4 characteristics.