2.5基本的阈值操作

#include <opencv2/opencv.hpp>
#include <iostream>
#include<windows.h>
#include<stdio.h>
#include<stdlib.h>
using namespace std;
using namespace cv;

//全局变量定义及赋值

int threshold_value = 0;
int threshold_type = 1;
int const max_value = 255;
int const max_type = 4;
int const max_BINARY_value = 255;

Mat src, src_gray, dst;
char* window_name = (char* )"Threshold Demo";
char* trackbar_type =(char* ) "Type:\n 0: Binary \n 1:Binary Inverted \n 2:Truncate \n 3:To Zero\n 4:To Zero Inverted";
char* trackbar_value = (char*)"Value";
//自定义函数声明
void Threshold_Demo(int, void*);



int main()
{
    src = imread("D:\\Pic\\4141.jpg");  //存放自己图像的路径 
    if (!src.data) {
        printf("No data! --Exiting the program\n");
        return -1;
    }
    //将图片转换称灰度图片
    cvtColor(src, src_gray, CV_RGB2GRAY);

    //创建一个窗口显示图片
    namedWindow(window_name, CV_WINDOW_AUTOSIZE);

    //创建滑动条来控制阈值
    createTrackbar(trackbar_type,
        window_name,
        &threshold_type,
        max_type,
        Threshold_Demo);

    createTrackbar(trackbar_value,
        window_name,
        &threshold_type,
        max_value,
        Threshold_Demo);

    //初始化自定义的阈值函数
    Threshold_Demo(0, 0);
    
    //等待用户按键，如果是ESC则退出等待过程
    while (true) {
        int c;
        c = waitKey(20);
        if ((char)c == 20) {
            break;
        }
    }
    system("pause");
    return 0;
}

//自定义的阈值函数
void Threshold_Demo(int, void*) {
    /*
    0:二进制阈值，
    1:反二进制阈值，
    2:截断阈值，
    3:0阈值，
    4:反0阈值
    */
    threshold(src_gray, dst,threshold_value, max_BINARY_value, threshold_type);
    imshow(window_name, dst);
}