#include <iostream>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
Mat img1, img2, img3, img4, img5, img6, img_result, img_gray1, img_gray2, img_gray3, img_canny1, img_binary1, img_dist1, img_dist2, kernel_1, kernel_2, img_laplance, img_sharp;
char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";
char win4[] = "window4";
char win5[] = "window5";
char win6[] = "window6";
char win7[] = "window7";
int thread_value = 100;
int max_value = 255;
RNG rng1(12345);
RNG rng2(1235);
double harris_min = 0;
double harris_max = 0;
int Demo_Normalize();
void Demo_1(int, void*);
//归一化处理
int Demo_Normalize()
{
namedWindow(win1, CV_WINDOW_AUTOSIZE);
//namedWindow(win2, CV_WINDOW_AUTOSIZE);
//namedWindow(win3, CV_WINDOW_AUTOSIZE);
img1 = imread("D://images//4//3.jpg");
//img2 = imread("D://images//1//p5_1.jpg");
if (img1.empty())
{
cout << "could not load image..." << endl;
return 0;
}
imshow(win1, img1);
/*
参数说明
src 输入数组；
dst 输出数组，数组的大小和原数组一致；
alpha 1,用来规范值，2.规范范围，并且是下限；
beta 只用来规范范围并且是上限；
norm_type 归一化选择的数学公式类型；
dtype 当为负，输出在大小深度通道数都等于输入，当为正，输出只在深度与输如不同，不同的地方游dtype决定；
mark 掩码。选择感兴趣区域，选定后只能对该区域进行操作。
*/
normalize(img1, img2, 0, 1, NORM_MINMAX, -1, Mat());
imshow(win2, img2*1000);
return 0;
}
void Demo_1(int, void*)
{
}
int main()
{
Demo_Normalize();
waitKey(0);
return 0;
}
