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Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

Series Editor: Chandrajit Bajaj, Guillermo Sapiro

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1-2 of 2 results in Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
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  1. Theoretical Foundations of Digital Imaging Using MATLAB®

    By Leonid P. Yaroslavsky

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the...

    Published November 25th 2012 by CRC Press

  2. Rough Fuzzy Image Analysis

    Foundations and Methodologies

    Edited by Sankar K. Pal, James F. Peters

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image...

    Published May 3rd 2010 by CRC Press

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Forthcoming Books

  1. Statistical and Computational Methods in Brain Image Analysis
    By Moo K. Chung
    To Be Published July 4th 2013
  2. Image Processing for Cinema
    By Marcelo Bertalmio
    To Be Published December 14th 2013
  3. Variational Methods in Image Processing
    By Luminita A. Vese
    To Be Published December 25th 2013
  4. Scientific Image Acquisition and Processing using Python: Applications to Medicine and Biology
    By Ravishankar Chityala, Sridevi Pudipeddi
    To Be Published January 25th 2014

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