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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
3.7 (3)
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OpenCV Computer Vision Application Programming Cookbook Second Edition

OpenCV Computer Vision Application Programming Cookbook Second Edition

3.7 (3)
By: Robert Laganiere

Overview of this book

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
Table of Contents (13 chapters)
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12
Index

Using a Controller design pattern to communicate with processing modules

As you build more complex applications, you will need to create multiple algorithms that can be combined together in order to accomplish some advanced tasks. Consequently, to properly set up the application and have all the classes communicate together will become more and more complex. It then becomes advantageous to centralize the control of the application in a single class. This is the idea behind the Controller design pattern. A Controller is a particular object that plays a central role in an application, and we will explore this in this recipe.

Getting ready

Using your favorite IDE, create a simple dialog-based application with two buttons; one button to select an image, and another button to start the processing, shown as follows:

Getting ready

Here, we use the ColorDetector class of the previous recipe.

How to do it…

The role of the Controller class is to first create the classes required to execute the application. Here...

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