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OpenCV Computer Vision with Java

OpenCV Computer Vision with Java

By : 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: 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

The Java OpenCV project in Eclipse

Using OpenCV in any IDE is pretty simple. It is as simple as adding OpenCV JAR, that is, opencv-300.jar to your classpath. But, as it relies on the native code, you need to point out the dynamic link libraries—so for Linux, .dll for Windows, and dylib for MacOsX.

  1. In Eclipse, go to File | New | Java Project.
    The Java OpenCV project in Eclipse
  2. Give the new project a descriptive name, such as SimpleSample. Select the project in the Package Explorer, go to the Project menu and click on Properties. On the Java Build Path tab, go to the Libraries tab, and click on the Add Library… button on the right-hand side, as shown in the following screenshot:
    The Java OpenCV project in Eclipse
  3. Select User Library in the Add Library dialog, and then click Next.
  4. Now, click on the User Libraries… button.
  5. Click on New…. Name your library appropriately, for example, opencv-3.0.0. It's time to reference the JAR files.
  6. Click on Add JARs….
  7. Select the opencv-300.jar file in your filesystem; it should be in the opencv\build\java folder. Then, point to the native library location expanding your JAR as in the following screenshot:
    The Java OpenCV project in Eclipse
  8. Now, select Native library location by clicking on the Edit… button on the right-hand side of the window and set your native libraries' location folder, for example, opencv\build\java\x64\.
  9. Now that OpenCV is properly configured, just select it in your Add library dialog by pressing Finish.

Notice that your project now points to the OpenCV JAR. You can also browse the main classes from the Package Explorer, as seen in the following screenshot:

The Java OpenCV project in Eclipse

After the The NetBeans configuration section, a source code to create a simple OpenCV application can be found.

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Tech Concepts
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Programming languages
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OpenCV Computer Vision with Java
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