Sign In Start Free Trial

Book Overview & Buying
Table Of Contents

OpenCV Computer Vision with Java

By : Baggio

3.4 (5)

OpenCV Computer Vision with Java

3.4 (5)

By: Baggio

Overview of this book

If you are a Java developer, student, researcher, or hobbyist wanting to create computer vision applications in Java then this book is for you. If you are an experienced C/C++ developer who is used to working with OpenCV, you will also find this book very useful for migrating your applications to Java. All you need is basic knowledge of Java, with no prior understanding of computer vision required, as this book will give you clear explanations and examples of the basics.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Setting Up OpenCV for Java

1. Setting Up OpenCV for Java

Getting OpenCV for Java development

Building OpenCV from the source code

The Java OpenCV project in Eclipse

The NetBeans configuration

A Java OpenCV simple application

Building your project with Ant

The Java OpenCV Maven configuration

Summary

2. Handling Matrices, Files, Cameras, and GUIs

2. Handling Matrices, Files, Cameras, and GUIs

Basic matrix manipulation

Pixel manipulation

Loading and displaying images from files

Displaying an image with Swing

Capturing a video from a camera

Video playback

Swing GUI's integration with OpenCV

Summary

3. Image Filters and Morphological Operators

3. Image Filters and Morphological Operators

Smoothing

Morphological operators

Flood filling

Image pyramids

Thresholding

Summary

4. Image Transforms

4. Image Transforms

The Gradient and Sobel derivatives

The Laplace and Canny transforms

The line and circle Hough transforms

Geometric transforms – stretch, shrink, warp, and rotate

Discrete Fourier Transform and Discrete Cosine Transform

Integral images

Distance transforms

Histogram equalization

References

Summary

5. Object Detection Using Ada Boost and Haar Cascades

5. Object Detection Using Ada Boost and Haar Cascades

The boosting theory

Cascade classifier detection and training

Detection

Training

References

Summary

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

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

Background subtraction

Frame differencing

Averaging a background method

The mixture of Gaussians method

Contour finding

Kinect depth maps

Summary

7. OpenCV on the Server Side

7. OpenCV on the Server Side

Setting up an OpenCV web application

Mixed reality web applications

Image processing

Summary

Index

Index

Chapter 7. OpenCV on the Server Side

As the Internet gets more and more interactive, a subject of great interest is how to deal with image processing on the server side that enables you to create web applications dealing with OpenCV. As Java is among the languages of choice when developing web apps, this chapter shows the entire architecture of an application that lets users upload an image and add a fedora hat on top of detected faces using techniques learned throughout the book.

In this chapter, we will cover the following topics:

Setting up an OpenCV web application
Mixed reality
Image uploading
Dealing with HTTP requests

By the end of this chapter you will know how to create a complete web application with image processing, obtain input from the user, process the image on the server side, and return the processed image to the user.

CONTINUE READING

83

Tech Concepts

36

Programming languages

73

Tech Tools

Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

50+ new titles added per month and exclusive early access to books as they are being written.

OpenCV Computer Vision with Java

Search

Your notes and bookmarks