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/*------------------------------------------------------------------------------------------*\
This file contains material supporting chapter 2 of the cookbook:
Computer Vision Programming using the OpenCV Library.
by Robert Laganiere, Packt Publishing, 2011.
This program is free software; permission is hereby granted to use, copy, modify,
and distribute this source code, or portions thereof, for any purpose, without fee,
subject to the restriction that the copyright notice may not be removed
or altered from any source or altered source distribution.
The software is released on an as-is basis and without any warranties of any kind.
In particular, the software is not guaranteed to be fault-tolerant or free from failure.
The author disclaims all warranties with regard to this software, any use,
and any consequent failure, is purely the responsibility of the user.
Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
\*------------------------------------------------------------------------------------------*/
#include <vector>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
int main()
{
cv::Mat image1;
cv::Mat image2;
image1= cv::imread("boldt.jpg");
image2= cv::imread("rain.jpg");
if (!image1.data)
return 0;
if (!image2.data)
return 0;
cv::namedWindow("Image 1");
cv::imshow("Image 1",image1);
cv::namedWindow("Image 2");
cv::imshow("Image 2",image2);
cv::Mat result;
cv::addWeighted(image1,0.7,image2,0.9,0.,result);
cv::namedWindow("result");
cv::imshow("result",result);
// using overloaded operator
result= 0.7*image1+0.9*image2;
cv::namedWindow("result with operators");
cv::imshow("result with operators",result);
image2= cv::imread("rain.jpg",0);
// create vector of 3 images
std::vector<cv::Mat> planes;
// split 1 3-channel image into 3 1-channel images
cv::split(image1,planes);
// add to blue channel
planes[0]+= image2;
// merge the 3 1-channel images into 1 3-channel image
cv::merge(planes,result);
cv::namedWindow("Result on blue channel");
cv::imshow("Result on blue channel",result);
// read images
cv::Mat image= cv::imread("boldt.jpg");
cv::Mat logo= cv::imread("logo.bmp");
// define image ROI
cv::Mat imageROI;
imageROI= image(cv::Rect(385,270,logo.cols,logo.rows));
// add logo to image
cv::addWeighted(imageROI,1.0,logo,0.3,0.,imageROI);
// show result
cv::namedWindow("with logo");
cv::imshow("with logo",image);
// read images
image= cv::imread("boldt.jpg");
logo= cv::imread("logo.bmp");
// define ROI
imageROI= image(cv::Rect(385,270,logo.cols,logo.rows));
// load the mask (must be gray-level)
cv::Mat mask= cv::imread("logo.bmp",0);
// copy to ROI with mask
logo.copyTo(imageROI,mask);
// show result
cv::namedWindow("with logo 2");
cv::imshow("with logo 2",image);
// read images
logo= cv::imread("logo.bmp",0);
image1= cv::imread("boldt.jpg");
// split 3-channel image into 3 1-channel images
std::vector<cv::Mat> channels;
cv::split(image1,channels);
imageROI= channels.at(1);
cv::addWeighted(imageROI(cv::Rect(385,270,logo.cols,logo.rows)),1.0,
logo,0.5,0.,imageROI(cv::Rect(385,270,logo.cols,logo.rows)));
cv::merge(channels,image1);
cv::namedWindow("with logo 3");
cv::imshow("with logo 3",image1);
cv::waitKey();
return 0;
}