You're reading from Mastering OpenCV Android Application Programming Master the art of implementing computer vision algorithms on Android platforms to build robust and efficient applications

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781783988204

Length 216 pages

Edition 1st Edition

Languages

Java

Tools

OpenCV

Concepts

Android Development

Table of Contents (11) Chapters

Preface

1. Applying Effects to Images FREE CHAPTER

2. Detecting Basic Features in Images

3. Detecting Objects

4. Drilling Deeper into Object Detection – Using Cascade Classifiers

5. Tracking Objects in Videos

6. Working with Image Alignment and Stitching

7. Bringing Your Apps to Life with OpenCV Machine Learning

8. Troubleshooting and Best Practices

9. Developing a Document Scanning App

Index

Getting started

When we see an image, we perceive it as colors and objects. However, a computer vision system sees it as a matrix of numbers (see the following image). These numbers are interpreted differently, depending on the color model used. The computer cannot directly detect patterns or objects in the image. The aim of computer vision systems is to interpret this matrix of numbers as an object of a particular type.

Representation of a binary image