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With the advent of Java 2D and the Java Advanced Imaging API (JAI), sophisticated imaging functionality can now be incorporated into Java applets and applications. This new capability facilitates the creation of cross-platform, Internet-enabled imaging software.
Written with practicing programmers in mind, Building Imaging Applications with Java Technology is a comprehensive, practical how-to guide. This book focuses on the information imaging programmers must know to produce high-quality imaging software with Advanced Window Toolkit (AWT), Java 2D, and JAI.
Building Imaging Applications with Java Technology reviews the fundamentals of AWT, the original set of Java imaging APIs. It also presents the more sophisticated imaging capabilities in Java 2D and introduces the powerful functionality of the new JAI APIs. You will learn how to create all types of graphics; how to load, render, and manipulate images; and how to perform image analysis. Numerous detailed examples from the real world of Internet, satellite, and medical imaging illustrate key concepts and techniques.
Specific topics include:"Putting It All Together" sections help you put vital concepts and techniques into practice with interactive examples using actual applications. All sample code in the book is available online.
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Applying Affine Transformation to Images
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Preface.
1. Introduction.
Getting started with Java.
Type of Java Programs.
Approaches to Building an Application with Java.
Imaging.
Evolution of Java Imaging APIs.
How to Use This Book?
Conclusion.
I. AWT IMAGING.
2. AWT Image Loading.Image Loading Approaches.
Asynchronous Image Loading in the AWT.
Image Loading Stages.
Image Loading Using the MediaTracker Class.
Loading Multiple Images.
Image Loading Problems.
Representing an Image.
Using the ImageLoader Class.
Loading Images from Jar Files.
Putting it all Together: MultiImageLoader Bean.
Conclusion.
3. Rendering Images in the AWT.Describing an Image.
Overview of the AWT Imaging API.
Displaying an Image.
Using Image Filters.
Printing.
Putting it All Together: An Image Viewer Applet and Application.
Conclusion.
II. JAVA 2D.
4. Basics of Java 2D Graphics.Application Coordinate Systems.
Device Coordinate Systems.
Describing a Shape.
Shapes.
Curves.
Introduction to Affine Transformation.
Conclusion.
5. Rendering Graphics in Java 2D.Rendering Graphics Objects.
Using the Graphics Class.
Painting in AWT Components.
Painting in Swing Components.
Enter Java 2D.
Graphics2D Rendering Operations.
Interactive Graphics.
Building Interactive Drawing Applications.
Designing a Library of Shapes for Interactive Drawing.
Shapes Library Implementation.
Writing a Shapes Library Client.
Putting it All Together: The JavaPaintShop Application.
Conclusion.
6. Rendering Images in Java 2D.Immediate Mode Model.
Bridging the Immediate Mode Model with the Push Model.
JPEG Viewer: A Simple Image Rendering Example.
Image Browser: An Example to Aggregate Images.
Designing a Component Class for Displaying Images.
Printing in Java 2.
Image Printing Requirements.
Putting it All Together: A Java 2D Image Viewer.
Conclusion.
7. Manipulating Images in Java 2D.What is Interpolation?
Applying Affine Transformation to Images.
Image Manipulation Requirements.
Implementing a Canvas for Image Manipulation.
Pan.
Zoom.
Implementing Pan and Zoom Together.
Implementing a Lens.
Other Zooming Techniques.
Rotate, Shear and Flip.
Conclusion.
8. Manipulating Image Data.Another Look at the BufferedImage Class.
Color Management.
Overview of the Color API in Java 2D.
Managing Image Data Storage.
Constructing a BufferedImage from Data.
Working with the Raster, SampleModel and DataBuffer Classes.
Calculating Image Statistics.
Obtaining Image Information.
Histogram.
Putting it All Together: An Image Data Viewer.
Image Data Manipulation Using Filters.
Adjusting Window/Level: An Example Using the LookTableOp.
Conclusion.
9. Building an ROI Application.A Scenario.
Steps to Building an ROI Application.
Marking ROI Shapes.
Graphics Overlay.
ROI Measurements.
Designing APIs for ROI Analysis.
Building a Quantitative Analysis Application.
Conclusion.
III. JAVA ADVANCED IMAGIN (JAI).
10. Introduction to JAI.JAI Architecture.
Pull Model API.
Overview of JAI.
Using the JAI class.
Getting Started.
A Simple Example to Load and Display an Image.
Putting it All Together: A PlanarImage Viewer.
Conclusion.
11. Rendering Images in JAI.Rendering Hints.
Managing Memory.
Scheduling Tiles.
Reformatting an Image.
Extending the Border.
A Rendering Example.
Closer Look at the PlanarImage Class.
Using the RenderedOp Class.
Working with Tiles.
Tiled Image Viewer.
Writing to Pixels.
Creating an Aggregate Image.
Renderable Layer.
Conclusion.
12. Manipulating Images in JAI.Interpolation in JAI.
Using the Affine Transform Operators.
Interactive Manipulation.
Cropping an Image.
Projections.
Warping.
Conclusion.
13. Manipulating Images in JAI.Types of Operations.
Running Operators.
Spatial Operations.
Edge Detection.
Dithering.
Implementing a Lookup Table.
Adjusting Window/Level.
Point Operators.
Color Conversion.
Frequency Operators.
Conclusion.
14. JAI: Analyzing Images in JAI.Computing Statistics.
Region of Interest Computation.
Putting It All Together: An ROI Analyzer Application.
Conclusion.
IV. NETWORK IMAGING.
15. Remote Imaging.Client-server Architecture.
Distributed Computing.
What is RMI?
Remote Imaging Using RMI (Remote Method Invocation).
A Simple Client-Server example.
Remote Imaging with JAI.
Conclusion.
16. Internet Imaging.A Scenario.
Understanding the World Wide Web.
What is a Servlet?
Getting Started with Servlets and JSP pages.
Using JAI with Servlets.
JavaServer Pages.
Architecting Web-based Imaging Applications.
Applets and Servlets.
Putting it all Together.
Internet Imaging Protocol (IIP).
Conclusion.
V. MISCELLANEOUS.
17. Image I/O.Using the JPEG Codec.
Overview of the JAI Codec Package.
Using the Image I/O API.
Conclusion.
18. Summary and Conclusions.Comparing AWT Imaging, Java 2D and JAI.
Visualization Framework.
VI. APPENDIXES.
Appendix A: Some Utility Classes.The foundation for this book was laid several years ago. I always wanted to write a down-to-earth imaging book for programmers. Many books on image visualization and image processing have been written by academics and are very math oriented. To build real-world applications, programmers don't need to use mathematics that often. This book is written by a programmer for programmers.
My association with imaging goes back many years. Although I have worked in many different areas of electrical engineering and computer science, imaging has always been my first love. Ever since I wrote a simple image-processing program in Pascal back in 1984, I have never stopped being fascinated by imaging. Later, I was fortunate enough to work for one of the biggest medical imaging companies in the world. While working for this company, I realized how important imaging is for health care. Whether the context is diagnosis, surgical planning, or radiation therapy, imaging plays a very important role in many clinical applications.
Because of my long association with medical imaging, many examples in this book are related to medical applications. Besides my experience in the field of medical imaging, I have worked in the areas of satellite imaging, GIS, and recently Internet imaging. The examples in this book reflect my association with these fields. Because the Internet is playing an increasingly important role in all our lives, an entire chapter is devoted to Internet imaging.
When I conceived the idea of writing this book many years ago, my problem was how to write code that readers could run on their own machines. The Java technology came to me as a godsend, with its "write once, run anywhere" concept. I jumped right on the Java bandwagon. Although Java may not be the best language ever written, it embodies many radical concepts, some of which are not very new. These concepts have been implemented in a simple and practical manner in Java.
This book is neither a beginner's book nor a tutorial. Although some sections may look like a tutorial, this is basically a how-to book. Readers are expected to be familiar with Java concepts. An ideal reader will be one who has programmed in Java and has some knowledge of imaging concepts.