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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。
FaceandEyesDetectionUsingOpenCV
- Face and Eyes Detection Using OpenCV. Introduction This article is an extension of an article that I posted on CodeProject earlier. This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is perfo
Form1
- The steps for training a haar classifier and detecting an object can be divided into : Creating the descr iption file of positive samples Creating the descr iption file of negative samples Packing the positive samples into a vec file T
Wavelet-dec--rec
- 在理解了离散小波变换的基本原理和算法的基础上，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。-In understanding the basis of discrete wavelet
haar
- wavelete filtering and can do it with median and adaptive filter
facedetect-test
- 基于hog特征与支持向量机的方式，使用opencv自带的haar特征分类器，检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
FourierTransform
- 完成对bmp图像的傅立叶变换; 完成对bmp图像的Haar小波分解与重构(Fourier transform of the BMP image is completed. Haar wavelet decomposition and reconstruction of BMP images)