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HAAR.rar
- 共享HAAR小波实现图象的分解与重构的C程序. 功能: 就是 经典的digital image processing 中小波那章中haar小波,完成一幅图象的分解与重构, 图象要求是bmp, 24位或8位均可. 而且在分解的子图象中,拉一个矩形框可以实现上步的还原,做到局部放大的效果. 同时 还附带 空间域的 反色和直方图均衡化(灰度图)以及 位图的重载, 放大缩小等.,Sharing the HAAR Wavelet Image Decomposition and Reconstruction
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
Haar
- Haar filter wavelet in java programming
haarcascade_eye_2
- cascade for haar-like clasifier
haar
- 用LABVIEW自己编的一个HAAR小波变换程序-LABVIEW own with a haar wavelet transform procedures
Eye_Classifier.xml
- It is haar features for eye detection
Wavelet
- 基于MFC对话框的哈尔小波重构分解，以及在小波域的拼接，代码有详细注释-MFC dialog-based reconstruction of Haar wavelet decomposition, as well as in the wavelet domain of splicing, a detailed code Notes
haarwavelet
- haarwavelet.it is code for haar wavelet in image prossecing.
haarw
- Compresion de imagenes utilizando la transformada de haar wavelet
haarcascade_eye
- A haar cascade for eyes written in XML for opencv and eye detection
HAAR1
- this is a code for haar wavelet 1d transformation
haar
- 最简单的haar 小波变换，基于opencv写的，希望对你有帮助-The easiest haar wavelet transform based on opencv write, I hope to help you
Haar
- Haar Wavelet. It is good in filtering image
haar
- 用一维Haar变换进行滤波和数据压缩实验-To use one-dimensional Haar transform filtering and data compression test
haar-wave
- matlat 环境下haar小波分析，可以改写成C 语言 -haar wave analysis
haar
- 关于小波变换学习的一些源代码，提取小波特征-some of the source code of wavelet transform ，extract haar wavelet feature
ask2---haar
- 对2ask信号可进行haar小波分解，并提取特征参数-For 2ask signal may be haar wavelet decomposition and extracts characteristic parameters
ica haar
- Chinese language pdf ica haar
Nose25x15.1
- a trained haar cascade for c# emgu and open cv
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)