Book Image

OpenCV By Example

By : Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
Book Image

OpenCV By Example

By: Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (18 chapters)
OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 3. Learning the Graphical User Interface and Basic Filtering

In the previous chapter, we learned the basic classes and structures of OpenCV and the most important class called Mat.

We learned how to read and save images, videos, and the internal structure in the memory of images.

We are ready to work now, but we need to show our results and have some basic interaction with our images. OpenCV provides us with a few basic user interfaces to work with and help create our applications and prototypes.

To better understand how the user interface works, we are going to create a small application called PhotoTool at the end of this chapter. In this application, we will learn how to use filters and color conversions.

In this chapter, we will cover the following topics:

  • The basic OpenCV user interface

  • The OpenCV QT interface

  • Sliders and buttons

  • An advanced user interface—OpenGL

  • Color conversion

  • Basic filters