搜索资源列表
利用小波变换进行图像的分解和重构
- 利用haar小波，对图像实现分解和重建。对于研究图像的小波域特征有着非常重要的作用！
VoiceUnvoice2
- 使用haar小波进行清音与浊音的分离,使用短时能量-Using Haar Wavelet to seperate voice and unvoice speech signal
q7
- Signal denoising using HAAR wavelet transform with thresholding
Face_detect
- 基于haar特征和adaboost算法的人脸识别程序.-Haar features and adaboost algorithm based face recognition process.
1
- 采用haar小波实现一维信号的分解与重构（mallat算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (mallat algorithm):
5
- 采用haar小波实现一维信号的分解与重构（à trous算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (trous algorithm):
HaarPSRC=Vehicle-detection
- 运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。-Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training a
Watermarking
- this program water mark a sound in picture with GUI based on haar transfrom
haarclassifier
- this is haar classifier. you can use to face recognition. good for you
haardenoising
- haar小波去噪程序，综合了六种阈值方法，有详细d的注释，效果非常好。-haar wavelet denoising procedure, a combination of six kinds of threshold method, there are detailed notes.
wavelet_function
- Example of wavelet function Mexican hat, haar,
harr
- for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to se
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
IRIS_UPDATE
- Iris code for human detection.it is based on wavelet transform and haar wavelet
haar_transform
- haar wavelet transform compression
signal_compression
- 用haar小波对信号进行3层分解，在对分解后的信号进行压缩，比较原信号和压缩后的信号-Haar wavelet signal decomposition layer 3 signal, the signal decomposition is compressed, and the compressed original signal after comparing the
fdtool_release
- fdtool toolbox for face recognition/detection uses MBLBP/Haar features with Adaboost classifier
xiaobo
- 小波压缩 用小波函数haar对信号进行3/5层分解 获取信号压缩的阀值 对信号进行压缩-Wavelet compression
facedetect
- 人脸识别，程序证明了Cacade检测器。可以使用Haar或LBP特征。能检测许多类。-This program demonstrates the cascade recognizer. Now you can use Haar or LBP features.This classifier can recognize many kinds of rigid objects
face_new_jpg
- OpenCV face detection using haar classifier and common implementation.