Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

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 (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


Filtering is one of the fundamental tasks in signal and image processing. It is a process aimed at selectively extracting certain aspects of an image that are considered to convey important information in the context of a given application. Filtering removes noise in images, extracts interesting visual features, allows image resampling, and so on. It finds its roots in the general Signals and Systems theory. We will not cover this theory in detail here. However, this chapter will present some of the important concepts related to filtering and will show you how filters can be used in image-processing applications. But first, let's begin with a brief explanation of the concept of frequency domain analysis.

When we look at an image, we observe how the different gray-levels (or colors) are distributed over the image. Images differ from each other because they have a different gray-level distribution. However, there exists another point of view under which an image can be analyzed...