icm_seg

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)

背景音乐只是随便写了写,具体的可以改数组里的数字.有点闪的效果还是不太好看. (Background music just casually write write array of specific numbers can be changed. Bit flash effect is still quite nice.)

28个vc++图像处理原程序之--对比度拉伸(28 vc++ Image processing of the original procedure- contrast stretching)

说明：  基于小波分析的故障检测的matlab程序 已经使用过 可放心使用(Matlab program of fault detection based on wavelet analysis has been used safely)

KALMAN filtering algorithm under the matlab toolbox, Shared by everybody, good source is very good

关于图像小波边缘检测的MATLAB程序，用于一般图像边缘检测(wavelet-edge)

这是一种很强的人脸检测程序，你可以试试，但我也不知是用什么方法。(This is a very strong face detection process, you can try, but I do not know in what ways.)

直线检测 Visual C++编写 用于图像处理(line segment detection)

python语言，使用卷积神经网络的特征做图像检索(image retrieval using CNN)

用小波包分析实现轴承故障诊断，信号分析处理，界面编程(Bearing fault diagnosis using wavelet packet analysis and signal analysis and processing, interface programming)