Subversion Repositories OpenCV2-Cookbook

/*------------------------------------------------------------------------------------------*\

   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;

}