FBP_recn

The second generation bandelets [Peyr´ e and Mallat 2005c] is a orthogonal multiscale transform that is able to capture thegeometric content of images and surfaces.

数字图像处理中对分类器优劣的判定常用的ROC/ACU源码。希望对你有用。(The ROC/ACU source code commonly used in the determination of the quality of the classifier in digital image processing. I hope useful to you.)

rgb to HSV，很有用，调试成功，可以应用(rgb to HSV，#include "stdafx.h" #include <iostream.h> void main(float R, float G, float B, float& H, float& S, float&V) { // r,g,b values are from 0 to 1 // h = [0,360], s = [0,1], v = [0,1] // if s == 0, then h =-1 (undefined) float min, max, delta,tmp tmp = R>G?G:R min = tmp>B?B:tmp tmp = R>G?R:G max = tmp>B?tmp:B V = max // v delta = max- min if( max != 0 ) S = delta/max // s else { // r = g = b = 0 // s = 0, v is undefined S = 0 H = 0 return } if (delta == 0){ H = 0 return } else if(R == max){ if (G >= B) H = (G- B)/delta // between yellow & magenta else H = (G- B)/delta+ 6 } else if( G == max ) H = 2+ ( B- R )/delta // between cyan & yellow else if (B == ma)

基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力(Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability)

说明：  双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

基于多尺度大气光的夜间去雾算法，ASPF模型(Nighttime Haze Removal with Glow and Multiple Light Colors)

模拟退火MATLAB程序，可直接运行，或修改参数做其他用途(MATLAB monituihuo program, you can use it solve many problem.)

这是一部关于非高斯噪声中信号检测与估计的经典书籍，springer出版社出版，作者是S Kassam(This is a classical book about signal detection in non-Gaussian noise, by S Kassam)

实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)

说明：  行为识别3D卷积神经网络,ucf或者KTH数据集都可以使用(3DCNN for action recognition)