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OpenCV By Example

You're reading from  OpenCV By Example

Product type Book
Published in Jan 2016
Publisher Packt
ISBN-13 9781785280948
Pages 296 pages
Edition 1st Edition
Languages
Authors (3):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
View More author details

Table of Contents (18) Chapters

OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning the Graphical User Interface and Basic Filtering 4. Delving into Histograms 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 Index

Creating the Graphical User Interface


Before we start with the image processing algorithms, we will create the main user interface for our application. We will use a QT-based user interface to allow us to create single buttons.

The application receives one input parameter to load the image to be processed, and we will create the following four buttons:

  • Show histogram

  • Equalize histogram

  • Lomography effect

  • Cartoonize effect

We can see the four results in the following screenshot:

Let's develop our project. First of all, we will include the required OpenCV headers. We define an img matrix to store the input image, and create a constant string to use the new command-line parser, which is only available in OpenCV 3.0. In this constant, we allow only two input parameters: common help and the required image input:

// OpenCV includes
#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
// OpenCV command line parser functions
// Keys...
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