OpenCV 3 – Getting started with Image processing

Course details

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. This course provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image analysis that will enable you to build your own computer vision applications.

This video helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and display images. It also introduces the basic OpenCV data structures.

Moving on, you will see how to manipulate pixels, and how an image can be read. This section explores different methods to scan an image in order to perform an operation on each of its pixels.

After that, you will find out how to process the colors of an image, where youll be presented with various object-oriented design patterns that will help you to build better computer vision applications. This section also shows you the concept of colors in images.

Finally, youll discover how to count pixels with histograms, how to compute image histograms, and how they can be used to modify an image. This section presents different applications based on histograms so you can achieve image segmentation, object detection, and image retrieval.

About the Author

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking.

Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics.

Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the authors website at laganiere.name.