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Learn OpenCV 4 by Building Projects, - Second Edition

You're reading from  Learn OpenCV 4 by Building Projects, - Second Edition

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Pages 310 pages
Edition 2nd Edition
Languages
Authors (3):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with OpenCV 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

Creating the graphical user interface

Before we start with the image processing algorithms, we create the main user interface for our application. We are going to use the Qt-based user interface to allow us to create single buttons. The application receives one input parameter to load the image to process, and we are going to create four buttons, as follows:

  • Show histogram
  • Equalize histogram
  • Lomography effect
  • Cartoonize effect

We can see the four results in the following screenshot:

Let's begin developing our project. First of all, we are going to include the OpenCV – required headers, define an image matrix to store the input image, and create a constant string to use the new command-line parser already available from OpenCV 3.0; in this constant, we allow only two input parameters, help and the required image input:

// OpenCV includes 
#include "opencv2/core...
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