Combinatorial Image Analysis

14th International Workshop, IWCIA 2011, Madrid, Spain, May 23-25, 2011. Proceedings

  • Jake K. Aggarwal
  • Reneta P. Barneva
  • Valentin E. Brimkov
  • Kostadin N. Koroutchev
  • Elka R. Korutcheva

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6636)

Table of contents

  1. Front Matter
  2. Invited Papers

    1. Jake K. Aggarwal
      Pages 1-4
    2. Blanca Lizarbe, Ania Benitez, Luis Lago, Manuel Sanchez-Montañes, Pilar López-Larrubia, Sebastián Cerdán
      Pages 9-12
  3. Digital Geometry and Topology, Combinatorics in Digital Spaces

    1. Gábor Németh, Péter Kardos, Kálmán Palágyi
      Pages 17-30
    2. Péter Kardos, Kálmán Palágyi
      Pages 31-42
    3. Tristan Roussillon, Jacques-Olivier Lachaud
      Pages 43-55
    4. Nilanjana Karmakar, Arindam Biswas, Partha Bhowmick, Bhargab B. Bhattacharya
      Pages 70-83
    5. Rocio Gonzalez-Diaz, Javier Lamar, Ronald Umble
      Pages 107-119
  4. Digital Geometry of Curves and Surfaces

    1. Josef Slapal
      Pages 120-131
    2. Emilie Charrier, Jacques-Olivier Lachaud
      Pages 132-143
    3. Colin Cartade, Rémy Malgouyres, Christian Mercat, Chafik Samir
      Pages 157-167
    4. Peter Veelaert, Michaël Heyvaert
      Pages 182-193
    5. Benedek Nagy, Krisztina Barczi
      Pages 194-207

About these proceedings

Introduction

This volume constitutes the refereed proceedings of the 14th International Workshop on Combinatorial Image Analysis, IWCIA 2011, held in Madrid, Spain, in May 2011. The 25 revised full papers and 13 poster papers presented together with 4 invited contributions were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections such as combinatorial problems in the discrete plane and space related to image analysis; lattice polygons and polytopes; discrete/combinatorial geometry and topology and their use in image analysis; digital geometry of curves and surfaces; tilings and patterns; combinatorial pattern matching; image representation, segmentation, grouping, and reconstruction; methods for image compression; discrete tomography; applications of integer programming, linear programming, and computational geometry to problems of image analysis; parallel architectures and algorithms for image analysis; fuzzy and stochastic image analysis; grammars and models for image or scene analysis and recognition, cellular automata; mathematical morphology and its applications to image analysis; applications in medical imaging, biometrics, and others.

Keywords

3D shape analysis functional imaging machine learning medical image analysis object recognition

Editors and affiliations

  • Jake K. Aggarwal
    • 1
  • Reneta P. Barneva
    • 2
  • Valentin E. Brimkov
    • 3
  • Kostadin N. Koroutchev
    • 4
  • Elka R. Korutcheva
    • 5
  1. 1.Department of Electrical and Computer EngineeringThe University of TexasAustinUSA
  2. 2.Department of Computer and Information ScienceState University of New York at FredoniaFredoniaUSA
  3. 3.Mathematics DepartmentSUNY Buffalo State CollegeBuffaloUSA
  4. 4.Esuela Politécnica Superior, Departamento de Ingenería InformáticaUniversidad Autónoma de MadridCantoblancoSpain
  5. 5.Departamento de Física FundamentalUniversidad Nacional de Educación a DistanciaMadridSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21073-0
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21072-3
  • Online ISBN 978-3-642-21073-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book