图片对比，计算不同像素个数，已经比率。实现人工分割跟算法分割图像结果的对比，但是只能用灰度图像作为输入

// 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;

}