OpenCV学习：Laplacian求图像清晰度，并将数据保存为xml文件

使用工具：OpenCV 3.0 + VS2013

test所用的图像如下，1.jpg最清晰，4.jpg最模糊。

c++语言

#include <opencv2/opencv.hpp>    
#include <iostream>
#include "opencv2/core/core.hpp"
#include <opencv2/imgproc/imgproc.hpp>  
#include "opencv2/highgui/highgui.hpp"
#include <cv.h> 

using namespace std;
using namespace cv;

int main()
{
	string pattern = "D:/皮卡丘最可爱/*.jpg";  //test的图片放在D盘
	vector<Mat> images;
	vector<String> pic;  // 必须cv的String
	glob(pattern, pic, false);
	size_t count = pic.size();
	cout << count << endl;  //显示一共有多少张图片
	for (int i = 0; i < count; i++)
	{
		images.push_back(imread(pic[i]));
		Mat imageSource = images[i];
		Mat imageGrey;
		cvtColor(imageSource, imageGrey, COLOR_RGB2GRAY);
		
		Mat imageSobel;
		Laplacian(imageGrey, imageSobel, CV_16U);  //Laplacian梯度法，数值越大表示图像越清晰
		
		double meanValue = 0.0;
		meanValue = mean(imageSobel)[0];   //图片清晰度
		
		//double to string  
		stringstream meanValueStream;
		string meanValueString;            //字符串
		meanValueStream << meanValue;
		meanValueStream >> meanValueString;
		meanValueString = "Articulation(Laplacian Method): " + meanValueString;
		putText(imageSource, meanValueString, Point(20, 20), FONT_HERSHEY_COMPLEX, 0.7, Scalar(255, 0, 0), 2);
		imshow("Articulation", imageSource);
		waitKey(1000);
		cout << meanValue << endl;  //显示图片的清晰度

		//将清晰度数据存为xml文件
		FileStorage mul_wr("D:\\pikaqiu.xml", FileStorage::APPEND);  
		mul_wr << "meanValue" << meanValue;
		mul_wr.release();	
	}
	return 1;
}

说明：FileStorage写入的操作模式有包括：FileStorage::WRITE 和FileStorage::APPEND。如果使用WRITE模式，则xml只会保存存最后一个数据。

运行结果：