搜索资源列表
分解与合成
- 用Matlab中的Haar和Db9小波对图像进行分解和重构,并在不同阈值下用PNG格式存储重构的图像.-Matlab Haar and the right image Db9 wavelet decomposition and reconstruction, and under different thresholds with PNG format image storage remodeling.
利用haar小波变换对图像进行分解与重构
- 这个程序是用harr小波对图像进行分解和重构，是个可执行的源代码，已通过调试，大家可用来学习-this procedure is right Harr wavelet image decomposition and reconstruction, is the source of executable code, the debugging, you can be used for learning
HaarFaceDetect
- 人脸检测领域经典的Haar人脸检测。使用OpenCV.-Face Detection classic Haar face detection. Use OpenCV.
adaboost_haar_bylaoYu
- 利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Tim
work4_1
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现-Mallat Haar wavelet decomposition and reconstruction algorithm in C Language
toolbox_liftwave
- 一个提升小波变换的matlab工具包。可以实现97，53，haar等系列的提升小波分解与重构。-an upgrade wavelet transform Matlab tool kit. 97,53 can be achieved, haar series of lifting wavelet decomposition and reconstruction.
yuyinzengqiang
- 利用Haar小波实现对语音信号的边缘增强，编程环境为matlab7.1-use of voice signals to achieve the edge enhancement, the programming environment for matlab7.1
haar33
- haar复小波的matlab实现源代码，适合学习滤波的人学习-haar Complex Wavelet achieve the Matlab source code suitable for the study of learning filter
ImageFusionWaveleteCodebylqh
- 本人原创代码，实现了图像的97小波，Haar小波变换，并实现了基于小波系数选择的图像融合处理，程序简单易懂，界面简洁，希望朋友们能够喜欢。-my original code, the images of 97 Wavelet, Haar transform, and achieve a choice based on wavelet coefficients of image fusion, procedures are simple, concise interface, hope to be
WaveletVC++Res
- 通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Ga
nstdhaardemo
- 二维非标准haar小波规格化分解后图像重构程序-non-standard 2D haar wavelet decomposition standardized procedures for image reconstruction
HaarTraining
- Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features-Rapid Object Detection With A Cascade of Bo osted Classifiers Based on Haar - like Features
CRL-2001-1
- 关于做人脸检测的时候所用到的Haar-like特征国内的文献讲的不是很详细，大家可以参考一下这篇文献，比较有价值的啊-human face detection of the time when used in the Haar - like characteristics of the domestic literature stresses is not very long Fine, we can refer to this document, the more valuable ah!
MALLAT_PROGRAM
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现最大分解级数:5级*/ -Mallat Haar wavelet decomposition and reconstruction algorithm in C language to achieve maximum decomposition Series : 5 * /
symmlet
- Apart from the Haar transform, there is no orthogonal wavelet transform
househaar
- 利用haar小波进行图像消除噪声 fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired
wavelet
- 本程序实现二维灰度图像的小波变换和逆变换。 直接运行本目录下的批处理程序run即可。 用户需自己输入以下参数： 1. 图像文件名(lena.bmp，若使用其它图像请先放入本目录下) 2. 选用的小波名称(本程序中可使用haar及db2-db5) 3. 小波变换的级数。 运行结束后小波变换与逆变换结果分别保存在dec.bmp与rec.bmp中。
imagefusionwavelettransform
- 基于小波变换的图像融合的设计主要可分为三个模块，即图像的小波变换模块、小波系数的融合模块和图像的小波重构模块。 在图像的小波变换部分，主要研究小波的构造。小波的种类有很多，此设计中实现了基于Haar小波、Daubechies小波、Symlets小波和Coiflets小波的图像融合。
original
- these are the original publications of Haar-like features and Adaboost framework, which form the basis of the newest object detections technology
haar
- 利用Harr将图像进行3层小波变换，并进行重建。里面包含测试图片及变换后系数重新排列后的结构图。(Harr is used to transform the image into three-layer wavelet transform and reconstruct it. It contains the test picture and the structure chart of the coefficient rearrangement after transformation.)