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OpenCV Computer Vision with Java

You're reading from OpenCV Computer Vision with Java Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781783283972

Length 174 pages

Edition 1st Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Daniel Lelis Baggio

View More author details

Table of Contents (9) Chapters

Preface

1. Setting Up OpenCV for Java FREE CHAPTER

2. Handling Matrices, Files, Cameras, and GUIs

3. Image Filters and Morphological Operators

4. Image Transforms

5. Object Detection Using Ada Boost and Haar Cascades

6. Detecting Foreground and Background Regions and Depth with a Kinect Device

7. OpenCV on the Server Side

Index

Chapter 2. Handling Matrices, Files, Cameras, and GUIs

This chapter will enable you to perform basic operations required in computer vision, such as dealing with matrices, opening files, capturing videos from a camera, playing videos, and creating GUIs for prototype applications.

In this chapter, the following topics will be covered:

Basic matrix manipulation
Pixel manipulation
How to load and display images from files
How to capture a video from a camera
Video playback
Swing GUI's integration with OpenCV

By the end of this chapter, you should be able to get this computer vision application started by loading images and creating nice GUIs to manipulate them.

The rest of the chapter is locked

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Authors (1)

Baggio

Baggio

Daniel Lélis Baggio has started his works in computer vision through medical image processing at InCor (Instituto do Coração – Heart Institute) in São Paulo, Brazil, where he worked with intra-vascular ultrasound (IVUS) image segmentation. After that he has focused on GPGPU and ported that algorithm to work with NVidia's Cuda. He has also dived into 6 degrees of freedom head tracking with Natural User Interface group through a project called EHCI (http://code.google.com/p/ehci/ ). He also wrote “Mastering OpenCV with Practical Computer Vision Projects” from Packt Publishing.

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