Computer Vision with OpenCV 3 and Qt5

Blend the power of Qt with OpenCV to build cross-platform computer vision applications
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Computer Vision with OpenCV 3 and Qt5

Amin Ahmadi Tazehkandi

4 customer reviews
Blend the power of Qt with OpenCV to build cross-platform computer vision applications

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Book Details

ISBN 139781788472395
Paperback448 pages

Book Description

Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment.

This book will teach you to develop applications with the combination of OpenCV 3 and Qt5. This book will teach you to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book.

Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.

Table of Contents

Chapter 1: Introduction to OpenCV and Qt
What is required?
Introduction to Qt
Introduction to OpenCV
Installing Qt
Installing OpenCV
Summary
Chapter 2: Creating Our First Qt and OpenCV Project
What is Qt Creator?
A tour of the IDE
Summary
Chapter 3: Creating a Comprehensive Qt+OpenCV Project
Behind the scenes
Design patterns
Qt Resource System
Styling applications
Multi-language support
Creating and using plugins
Creating the foundations
Summary
Chapter 4: Mat and QImage
All about the Mat class
Reading images using OpenCV
Writing images using OpenCV
Reading and writing videos in OpenCV
The HighGUI module in OpenCV
Image and video handling in Qt
Summary
Chapter 5: The Graphics View Framework
The Scene-View-Item architecture
The Scene, QGraphicsScene
The Items, QGraphicsItem
The View, QGraphicsView
Summary
Chapter 6: Image Processing in OpenCV
Image filtering
Image transformation capabilities
Drawing in OpenCV
Template matching
Summary
Chapter 7: Features and Descriptors
Base of all algorithms – the Algorithm class
The 2D Features Framework
How to choose an algorithm
Summary
Chapter 8: Multithreading
Multithreading in Qt
Low-level multithreading using QThread
Thread synchronization tools
High-level multithreading using QtConcurrent
Summary
Chapter 9: Video Analysis
Understanding histograms
Understanding back-projection images
MeanShift and CamShift
Background/foreground detection
Summary
Chapter 10: Debugging and Testing
Debugging with Qt Creator
Qt Test Framework
Summary
Chapter 11: Linking and Deployment
The build process, behind the scenes
Building OpenCV static libraries
Building Qt static libraries
Deploying Qt+OpenCV applications
Summary
Chapter 12: Qt Quick Applications
Introduction to QML
User interaction and scripting in QML
Using Qt Quick Designer
Structure of a Qt Quick Application
Integrating C++ and QML codes
Qt and OpenCV apps on Android and iOS
Summary

What You Will Learn

  • Get an introduction to Qt IDE and SDK
  • Be introduced to OpenCV and see how to communicate between OpenCV and Qt
  • Understand how to create UI using Qt Widgets
  • Know to develop cross-platform applications using OpenCV 3 and Qt 5
  • Explore the multithreaded application development features of Qt5
  • Improve OpenCV 3 application development using Qt5
  • Build, test, and deploy Qt and OpenCV apps, either dynamically or statically
  • See Computer Vision technologies such as filtering and transformation of images, detecting and matching objects, template matching, object tracking, video and motion analysis, and much more
  • Be introduced to QML and Qt Quick for iOS and Android application development

Authors

Table of Contents

Chapter 1: Introduction to OpenCV and Qt
What is required?
Introduction to Qt
Introduction to OpenCV
Installing Qt
Installing OpenCV
Summary
Chapter 2: Creating Our First Qt and OpenCV Project
What is Qt Creator?
A tour of the IDE
Summary
Chapter 3: Creating a Comprehensive Qt+OpenCV Project
Behind the scenes
Design patterns
Qt Resource System
Styling applications
Multi-language support
Creating and using plugins
Creating the foundations
Summary
Chapter 4: Mat and QImage
All about the Mat class
Reading images using OpenCV
Writing images using OpenCV
Reading and writing videos in OpenCV
The HighGUI module in OpenCV
Image and video handling in Qt
Summary
Chapter 5: The Graphics View Framework
The Scene-View-Item architecture
The Scene, QGraphicsScene
The Items, QGraphicsItem
The View, QGraphicsView
Summary
Chapter 6: Image Processing in OpenCV
Image filtering
Image transformation capabilities
Drawing in OpenCV
Template matching
Summary
Chapter 7: Features and Descriptors
Base of all algorithms – the Algorithm class
The 2D Features Framework
How to choose an algorithm
Summary
Chapter 8: Multithreading
Multithreading in Qt
Low-level multithreading using QThread
Thread synchronization tools
High-level multithreading using QtConcurrent
Summary
Chapter 9: Video Analysis
Understanding histograms
Understanding back-projection images
MeanShift and CamShift
Background/foreground detection
Summary
Chapter 10: Debugging and Testing
Debugging with Qt Creator
Qt Test Framework
Summary
Chapter 11: Linking and Deployment
The build process, behind the scenes
Building OpenCV static libraries
Building Qt static libraries
Deploying Qt+OpenCV applications
Summary
Chapter 12: Qt Quick Applications
Introduction to QML
User interaction and scripting in QML
Using Qt Quick Designer
Structure of a Qt Quick Application
Integrating C++ and QML codes
Qt and OpenCV apps on Android and iOS
Summary

Book Details

ISBN 139781788472395
Paperback448 pages
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From 4 reviews

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