搜索资源列表
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
04kz2612
- 基于小波包特征提取的车牌字符识别，是一片期刊论文，还不错的，可以学习-Feature extraction based on wavelet packet license plate character recognition is a journal articles, but also good, you can learn
gabor2
- 一幅输入的图形进行特征提取基于gabor小波变换 -Enter a graphical feature extraction based on gabor wavelet transform
neuralandwavelet
- 对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training
VFDT
- 小波对信号进行多分辨率分析，提取信号特征-Wavelet multi-resolution signal analysis, signal feature extraction
IRandvisbletuxiangpeizhun
- 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. -For visible light and infrared images of the characteris
contourlet_modeling
- Abstract—The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and direc- tional fi lter banks. The contourlet expansion is composed of basis images oriented at various directions in multiple
Wavelet_Classify
- 基于小波变换和K-Mean算法的崇明东滩遥感图像分类，读取样本的能量特征向量进行分类，并返回分类图像的RGB图，显示各类地物面积比例-Based on wavelet transform and the K-Mean Algorithm for remote sensing image classification Chongming Dongtan, the energy to read a sample feature vectors for classification, and retu
200907078
- 基于Haar特征的多特征快速人脸检测,基于Haar特征的多特征快速人脸检测.-Haar based on the characteristics of fast multi-feature Face Detection, Haar-based features of the characteristics of the multi-face detection rapidly.
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
josTexImgRetr
- 基于纹理谱描述子的图像检索 提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换的思想和纹理谱概念的联 系,根据纹理的视觉特性,提出纹理模式等价类的概念,设计出更合理的纹理谱描述子来描述图像的纹理特征.该纹 理模式刻画了领域内像素灰度变化模式,以纹理谱直方图方式表示图像纹理内容.分析了纹理谱的对称不变性和旋 -This paper presents a new texture spectrum descr iptor for content-based image
paper
- This paper proposes a fault location method employing wavelet fuzzy neural network to use post-fault transient and steady-state measurements. When single line to ground fault (SLG) occurs in the distribution lines of an industrial system, the trans
MRIbianyuan
- 小波变换模极大值用于MRI图像的边缘检测以及特征值提取-Wavelet transform modulus maxima for the MRI images and the Feature Extraction of Edge Detection
matlabwavelettransform
- 利用matlab编程对遥感图像的熵值进行计算，并对其进行小波变换，统计遥感图像在小波域的特性-Matlab Programming for remote sensing images using the entropy values calculated, and its wavelet transform, statistical remote sensing images in the wavelet domain feature
Gabor_signal
- 人脸表情识别的Gabor小波变换，最终得到5个尺度，8个方向的不同特征，此程序参考文件Gabor feature classification using enhanced FLD model facial recognition-Facial Expression Recognition of Gabor wavelet transform, finally be five scale, eight directions of different characteristics, this p
2
- 基于Gabor变换的图像纹理识别。 提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间 频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配 识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运 算量。-Gabor transform based image texture recognition. An improv
Gabor_wavelet1
- 基于gabor小波变换的图像检索程序。有特征提取、特征匹配，以及结果返回。-On gabor wavelet transform based image retrieval process. There are feature extraction, feature matching, as well as the results returned.
texture_feature
- 基于小波变换的纹理特征提取方法，可以提取特征值，经过修改也可以提取其他特征向量！适合初学者使用！-Wavelet-based texture feature extraction method that can extract the characteristic values, a modified vector of other characteristics can also be extracted! Suitable for beginners!
linbao
- 基于小波包的数字水印嵌入算法，根据载体图像的小波包分解特征选取嵌入强度。-Wavelet packet-based digital watermark embedding algorithm, according to vector images embedded wavelet packet feature selection intensity.
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition