实例8：opencv批量阈值分割JPG图像并显示保存

#include <iostream>
#include <io.h>  // 当中含有_finddata_t
#include <string>
#include <vector> 

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

#define NUMBER 80 //(JPG文件数量为NUMBER-1)

using namespace std;
using namespace cv;

void Threshold_Demo(vector<Mat> imag)
{
	char ad[128] = { 0 };
	Mat gray_src,dst;
	const char* output_title = "binary image";//定义输出标题为二进制图像
	for(int i=0;i<imag.size();i++)//
	{
		cvtColor(imag[i], gray_src, CV_BGR2GRAY);//RGB图像对象src转换为灰度图像对象gray_src
		//imshow("GRAY", gray_src);//显示灰度图像
		threshold(gray_src, dst, 178, 255, THRESH_BINARY);//对gray_src阈值分割，阈值设置为178

		//保存阈值分割后图像
		sprintf_s(ad, "F:\Software\VTK8.2.0\vtk1\helloVtk\JPG_threshold\threshold_%d.jpg", i+1);
		imwrite(ad, dst);

		namedWindow(output_title, CV_WINDOW_AUTOSIZE);
		imshow(output_title, dst);
		waitKey();//键盘任意键关闭
	}
	
}
int main()
{	
		vector<Mat> images;
		for (int a = 1; a < NUMBER;a+=10)  // a <=Count would do one too many...
		{
			string filename = format("F:\Software\VTK8.2.0\vtk1\helloVtk\JPG_images\%d.jpg", a);//JPG文件的存储路径
			Mat img = imread(filename); //读取图像
			if (img.empty())      // 如果图像为空
			{
				cerr << "whaa " << filename << " can't be loaded!" << endl;
				continue;   
			} 
			images.push_back(img);//图像保存进容器
		}
		//进行批量阈值分割与保存
		Threshold_Demo(images);
		return 0;
}#include <iostrea