图片像素对比OpenCV实现，实现人工分割跟算法分割图像结果的对比

// imageMaskComparison.cpp : 定义控制台应用程序的入口点。
//

// imageMaskComparison.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace std;
using namespace cv;

int main()
{


	String image_name,image1,image2;
	cout<<"input Parameters:"<<endl;

	cout<<"image name 1 : ";
	cin>>image1;
	cout<<"image name 2 : ";
	cin>>image2;


	Mat img1 = imread((char *)image1.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
	Mat img2 = imread((char *)image2.c_str(), CV_LOAD_IMAGE_GRAYSCALE);//两幅图像的大小需要一致 
	imshow("img1",img1);
	imshow("img2",img2);

	Mat img_result1 , img_result2 , img_result ;

	img_result1.create(img1.rows,img1.cols,CV_8UC1);
	img_result1 = 255;

	img_result2.create(2,img1.size,CV_8UC1);
	img_result2 = 255;

	img_result.create(img2.rows,img2.cols,CV_8UC1);
	img_result = 0;

	//subtract(img1,img2, img_result1);
	//subtract(img2,img1, img_result2);
	//add(img_result1, img_result2, img_result1);

	absdiff(img1,img2,img_result);

	int init_index = 0;

	
	/*
	for(int i=0; i<img_result.rows; i++)
	{
		for(int j=0; j<img_result.cols; j++) 
		{
			if (img_result.at<uchar>(i,j)== 255)
			{
				init_index++;
			}
			
			
			
		}
	}
	



	*/
	

	int count = 0;
	

	for(int i=0; i<img1.rows; i++)
	{
		
		
		for(int j=0; j<img1.cols; j++) 
		{
			
			
			if ( img1.at<uchar>(i,j) == img2.at<uchar>(i,j))
			{
				
				img_result.at<uchar>(i,j) = (uchar)255;
			}
			else
			{
				count++;
				img_result.at<uchar>(i,j) = (uchar)0;
			}

		}
	}
	

	int sum = img1.cols*img1.rows;
	double error_ratio = count/(double)sum;
	
	//cout<<init_index<<endl;
	cout<<"number of different pixel:"<<count<<endl;
	cout<<"error ratio: "<<error_ratio<<endl;
	imwrite("result.bmp",img_result);

	//imshow("result1", img_result1);
	//imshow("result2", img_result2);
	 namedWindow( "result", CV_WINDOW_AUTOSIZE );
	imshow("result", img_result);
	waitKey();
	return 0;
}