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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Reading/writing images

Following the introduction to matrices, we are going to start with the OpenCV code basics. The first thing that we have to learn is how to read and write images:

#include <iostream> 
#include <string> 
#include <sstream> 
using namespace std; 
 
// OpenCV includes 
#include "opencv2/core.hpp" 
#include "opencv2/highgui.hpp" 
using namespace cv; 
 
int main(int argc, const char** argv) 
{ 
   // Read images 
   Mat color= imread("../lena.jpg"); 
   Mat gray= imread("../lena.jpg",CV_LOAD_IMAGE_GRAYSCALE); 

if(! color.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
} // Write images imwrite("lenaGray.jpg", gray); // Get same pixel with opencv function int myRow=color.cols-1; int myCol=color...
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