OpenCV 3.0 Computer Vision with Java电子书

OpenCV 3.0 Computer Vision with Java

Table of Contents

OpenCV 3.0 Computer Vision with Java

Credits

About the Author

Acknowledgment

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

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

Creating a Windows Java OpenCV Maven project pointing to the Packt repository

Creating a Java OpenCV Maven project pointing to a local repository

Summary

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

Smoothing

Averaging

Gaussian

Median filtering

Bilateral filtering

Morphological operators

Flood filling

Image pyramids

Thresholding

Summary

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

The boosting theory

AdaBoost

Cascade classifier detection and training

Detection

Training

References

Summary

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

The Kinect setup

The driver setup

The OpenCV Kinect support

The Kinect depth application

Summary

7. OpenCV on the Server Side

Setting up an OpenCV web application

Creating a Maven-based web application

Adding OpenCV dependencies

Running the web application

Importing the project to Eclipse

Mixed reality web applications

Image upload

Image processing

The response image

Summary

Index