Image and Video Processing Libraries in Ptolemy II by ... - CiteSeerX

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Figure 1.1: A screen shot of Vergil, the user interface for Ptolemy II. Java Advanced Imaging (JAI) The Java Advanced Imaging (JAI) API [2] was created by Sun Microsystems to work with their Java Programming Language. It is available for Windows, Solaris, and Linux. Sun’s goal for this API is to provide a framework that allows many image processing algorithms to be implemented with little or no custom code writing. Java Media Framework (JMF) Simlarly, the Java Media Framework (JMF) [1] was developed by Sun Microsystems and runs on Windows, Solaris, and Linux. It was created to allow programmers to more easily work with time-based media (more specifically, audio and video) in Java. 1.2 JAI and JMF Integration Ptolemy II has many different token types to be used for transport of data. This includes an ObjectToken used to transport any Object in Java. Originally, ObjectTokens were used to encapsulate the data structures used in both JAI and JMF. However, when it came to displaying images or movies, a separate display actor had to be written for ObjectTokens containing different types of data structures. 12
We decided that there was a need for an ImageToken class. The goal of the ImageToken was to be able to have a Token type that would be able to work not only with the previously written image processing actors (based on the Advanced Windowing Toolkit in the standard JDK), but also to work with the newly written actors in both the JAI and JMF actor libraries. Luckily, both API’s provide conversions to and from the Image class located in the Advanced Windowing Toolkit (AWT). This allows us to use actors based on JAI on images originated from a JMF-based actor. The ImageToken class is an abstract class that any token containing an image data structure should implement; the only requirement is implementing the asAWTImage() method. 13
Page 1: Image and Video Processing Librarie
Page 4 and 5: 3.4.2 JAIBoxFilter . . . . . . . .
Page 6 and 7: List of Figures 1.1 Screenshot of V
Page 9 and 10: Acknowledgements The following proj
Page 11: Chapter 1 Introduction 1.1 Ptolemy
Page 15 and 16: of the bands. The values in an imag
Page 17 and 18: Figure 2.1: Non JAI Image Processin
Page 19 and 20: Figure 3.1: The JAI actor library i
Page 21 and 22: P1 #comments 10 10 1001001110 10010
Page 23 and 24: 3.1.2 JAIConstant The JAIConstant a
Page 25 and 26: JAIPNGWriter The JAIPNGWriter diffe
Page 27 and 28: Figure 3.5: An image about to under
Page 29 and 30: Reflect 5 4 4 5 6 6 5 2 1 1 2 3 3 2
Page 31 and 32: sponds to a shift upwards. A value
Page 33 and 34: images in this report were scaled u
Page 35 and 36: Figure 3.7: An example of how to se
Page 37 and 38: Figure 3.8: Mask shapes for median
Page 39 and 40: 3.5.1 JAIDFT 0 0 -1 0 1 0 0 0 0 -1
Page 41 and 42: 3.5.3 JAIMagnitude, JAIPhase The JA
Page 43 and 44: 3.8.3 DoubleMatrixToJAI The DoubleM
Page 45 and 46: Figure 4.2: A simple model showing
Page 47 and 48: Figure 4.5: The initial guess. Figu
Page 49 and 50: Figure 4.9: The image after fifteen
Page 51 and 52: Figure 4.12: The image after being
Page 53 and 54: Figure 4.14: Median Filtering on a
Page 55 and 56: Chapter 5 Video Processing Platform
Page 57 and 58: Chapter 6 JMF Actor Library The fol
Page 59 and 60: 6.1.4 ColorFinder The ColorFinder a
Page 61 and 62: Chapter 7 Video Processing Examples
Page 63 and 64:
Chapter 8 Future Work Sun has recen
Page 65 and 66:
Chapter 9 Appendix The following is
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* @param name The name of this acto
Page 69 and 70:
} if((data[i][j] > min) && (data[i]
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