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Image processing [electronic resource] : tensor transform and discrete tomography with MATLAB / Artyom Grigoryan, Merughan M. Grigoryan.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton, FL : CRC Press/Taylor & Francis, 2013.Description: xv;442 pISBN:
  • 9781466509948 (hardback)
  • 1466509945 (hardback)
Subject(s): DDC classification:
  • 006.4/2 23
LOC classification:
  • TA1637 .G746 2013
Other classification:
  • TEC007000 | TEC015000 | TEC059000
Online resources: ENGnetBASE pre 2016ELECTRICALENGINEERING netBASESummary: "The book is devoted to the problem of image reconstruction from a finite number of projections. It describes in detail 2-D discrete Fourier transform, including properties, fast algorithms, and applications of Fourier transform methods in image processing. It also presents traditional methods of 2D computerized tomography, including Fourier transform-based methods of filtered back projection and algebraic methods. The text shows readers new approaches and new forms of image representation, which can be used effectively in image processing and computerized tomography. All solutions of the image reconstruction problem are accomplished with examples and MATLAB-based codes"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Book Book Air University Central Library Islamabad Biomedical Engineering Location Ground Floor Biomedical Engineering: Shelve No 31-35 616.0754 GRI (Browse shelf(Opens below)) Available P5618

Includes bibliographical references ( p. 423-426) and index.

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"The book is devoted to the problem of image reconstruction from a finite number of projections. It describes in detail 2-D discrete Fourier transform, including properties, fast algorithms, and applications of Fourier transform methods in image processing. It also presents traditional methods of 2D computerized tomography, including Fourier transform-based methods of filtered back projection and algebraic methods. The text shows readers new approaches and new forms of image representation, which can be used effectively in image processing and computerized tomography. All solutions of the image reconstruction problem are accomplished with examples and MATLAB-based codes"-- Provided by publisher.

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