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  • Book Overview & Buying OpenCV Computer Vision with Java
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OpenCV Computer Vision with Java

OpenCV Computer Vision with Java

By : Daniel Lelis Baggio
3.4 (5)
Buy this Book
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OpenCV Computer Vision with Java

OpenCV Computer Vision with Java

3.4 (5)
By: Daniel Lelis Baggio
Buy this Book

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.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Setting Up OpenCV for Java
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1. Setting Up OpenCV for Java
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Getting OpenCV for Java development
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Building OpenCV from the source code
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The Java OpenCV project in Eclipse
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The NetBeans configuration
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A Java OpenCV simple application
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Building your project with Ant
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The Java OpenCV Maven configuration
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Summary
2
2. Handling Matrices, Files, Cameras, and GUIs
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2. Handling Matrices, Files, Cameras, and GUIs
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Basic matrix manipulation
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Pixel manipulation
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Loading and displaying images from files
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Displaying an image with Swing
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Capturing a video from a camera
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Video playback
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Swing GUI's integration with OpenCV
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Summary
3
3. Image Filters and Morphological Operators
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3. Image Filters and Morphological Operators
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Smoothing
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Morphological operators
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Flood filling
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Image pyramids
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Thresholding
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Summary
4
4. Image Transforms
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4. Image Transforms
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The Gradient and Sobel derivatives
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The Laplace and Canny transforms
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The line and circle Hough transforms
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Geometric transforms – stretch, shrink, warp, and rotate
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Discrete Fourier Transform and Discrete Cosine Transform
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Integral images
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Distance transforms
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Histogram equalization
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References
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Summary
5
5. Object Detection Using Ada Boost and Haar Cascades
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5. Object Detection Using Ada Boost and Haar Cascades
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The boosting theory
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Cascade classifier detection and training
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Detection
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Training
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References
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Summary
6
6. Detecting Foreground and Background Regions and Depth with a Kinect Device
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6. Detecting Foreground and Background Regions and Depth with a Kinect Device
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Background subtraction
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Frame differencing
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Averaging a background method
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The mixture of Gaussians method
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Contour finding
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Kinect depth maps
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Summary
7
7. OpenCV on the Server Side
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7. OpenCV on the Server Side
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Setting up an OpenCV web application
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Mixed reality web applications
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Image processing
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Summary
8
Index
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Index

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Another way to get the source code is by using the git tool."

A block of code is set as follows:

<manifest>
  <addClasspath>true</addClasspath>
  <classpathPrefix>lib/</classpathPrefix>
  <mainClass>com.mycompany.app.App</mainClass>
</manifest>

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

imageView.addMouseListener(new MouseAdapter()
{
  public void mousePressed(MouseEvent e)
  {
    Core.circle(image,new Point(e.getX(),e.getY()),20, new Scalar(0,0,255), 4);
    updateView(image);
  }
});

Any command-line input or output is written as follows:

sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev ant

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: " Go to Window | Preferences, and type classpath variables in the search box."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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OpenCV Computer Vision with Java
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