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Fractal geometry in digital imaging / Martin J. Turner, Jonathan M. Blackledge, Patrick R. Andrews

By: Contributor(s): Material type: TextTextPublication details: San Diego, Calif. : Academic Press, ©1998Description: xx, 328 pages : illustrations ; 25 cmISBN:
  • 9780127039701
  • 9780127039701
Subject(s): DDC classification:
  • 621.36/7 21
LOC classification:
  • TA1637.T87 1998
Contents:
1. Introduction -- Pt. I. Fractal Geometry. 2. Fractal and Texture Analysis. 3. Description of Fractal Geometry. 4. Random Scaling Fractals -- Pt. II. Fractals to Segment Images. 5. Object Segmentation. 6. Fractal Segmentation. 7. Machine Vision -- Pt. III. Fractals to Create Images. 8. Random Noise Image Creation. 9. Lindermayer Systems -- Pt. IV. Images to Create Fractals. 10. Image Representation. 11. Fractal Image Compression -- Pt. V. Conclusions and Appendices. 12. Conclusions, Discussions and Ideas for the Future -- App. A. Optical Diffraction Theory and Image Formation -- App. B. n-Dimensional Fourier Transform
Summary: This book is concerned with the theory and application of fractal geometry in digital imaging. Throughout the book, a series of new approaches to defining fractals are illustrated, such as the analysis of the fractal power spectrum and the use of fractional differentials. Several new algorithms and applications are also discussed and applied to real life images. Fractal Geometry in Digital imaging will appeal to postgraduates, researchers and practitioners in image processing, mathematics and computing, information technology and engineering
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books Chinhoyi University of Technology Libraries Open Shelf - Main Library Chinhoyi University of Technology Libraries Non-fiction TA1637.T87TUR (Browse shelf(Opens below)) C.018196 Available bk0037278

Includes bibliographical references (pages 293-305) and index

1. Introduction -- Pt. I. Fractal Geometry. 2. Fractal and Texture Analysis. 3. Description of Fractal Geometry. 4. Random Scaling Fractals -- Pt. II. Fractals to Segment Images. 5. Object Segmentation. 6. Fractal Segmentation. 7. Machine Vision -- Pt. III. Fractals to Create Images. 8. Random Noise Image Creation. 9. Lindermayer Systems -- Pt. IV. Images to Create Fractals. 10. Image Representation. 11. Fractal Image Compression -- Pt. V. Conclusions and Appendices. 12. Conclusions, Discussions and Ideas for the Future -- App. A. Optical Diffraction Theory and Image Formation -- App. B. n-Dimensional Fourier Transform

This book is concerned with the theory and application of fractal geometry in digital imaging. Throughout the book, a series of new approaches to defining fractals are illustrated, such as the analysis of the fractal power spectrum and the use of fractional differentials. Several new algorithms and applications are also discussed and applied to real life images. Fractal Geometry in Digital imaging will appeal to postgraduates, researchers and practitioners in image processing, mathematics and computing, information technology and engineering

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