© 2007

Soft Computing in Image Processing

Recent Advances

  • Mike Nachtegael
  • Dietrich Van der Weken
  • Etienne E. Kerre
  • Wilfried Philips


  • Recent advances of soft computing in image processing


Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 210)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Applications in Remote Sensing

    1. Front Matter
      Pages I-XXI
    2. Saroj K. Meher, Bhavan Uma Shankar, Ashish Ghosh
      Pages 3-34
    3. Cara G. Schiek, Roberto Araiza, Jose Manuel Hurtado, Aaron A. Velasco, Vladik Kreinovich, Victor Sinyansky
      Pages 35-64
  3. Applications in Image Retrieval

    1. Front Matter
      Pages I-XXI
  4. Applications in Image Analysis

  5. Other Applications

    1. Front Matter
      Pages I-XXI
    2. Dmitry Chetverikov, Zsolt Jankó, Evgeny Lomonosov, Aniko Ekárt
      Pages 239-263
    3. Gero Peters, Serge Muller, Sylvain Bernard, Isabelle Bloch
      Pages 293-323
    4. Richa Singh, Mayank Vatsa, Afzel Noore
      Pages 325-349
  6. Theoretical Contributions

    1. Front Matter
      Pages I-XXI
    2. Ioannis K. Vlachos, George D. Sergiadis
      Pages 383-414

About this book


Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness that the scientific field of "image processing" has become today. Many techniques are being applied, including soft computing.

"Soft Computing in Image Processing: Recent Advances" follows the edited volumes "Fuzzy Techniques in Image Processing" (volume 52, published in 2000) and "Fuzzy Filters for Image Processing" (volume 122, published in 2003), and covers a wide range of both practical and theoretical applications of soft computing in image processing. The 16 excellent chapters of the book have been grouped into five parts: Applications in Remote Sensing, Applications in Image Retrieval, Applications in Image Analysis, Other Applications, and Theoretical Contributions. The focus of the book is on practical applications, which makes it interesting for every researcher that is involved with soft computing, image processing, or both scientific branches.


algorithm algorithms calculus communication computer-aided design (CAD) fuzzy genetic algorithms image analysis image processing neural networks optimization programming remote sensing sensing uncertainty

Editors and affiliations

  • Mike Nachtegael
    • 1
  • Dietrich Van der Weken
    • 1
  • Etienne E. Kerre
    • 1
  • Wilfried Philips
    • 2
  1. 1.Department of Applied Mathematics and Computer ScienceGhent UniversityGentBelgium
  2. 2.Department of Telecommunications and Information ProcessingGhent UniversityGentBelgium

Bibliographic information

  • Book Title Soft Computing in Image Processing
  • Book Subtitle Recent Advances
  • Editors Mike Nachtegael
    Dietrich van der Weken
    Etienne E. Kerre
    Wilfried Philips
  • Series Title Studies in Fuzziness and Soft Computing
  • Series Abbreviated Title StudFuzz
  • DOI
  • Copyright Information Springer 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-540-38232-4
  • Softcover ISBN 978-3-642-07242-0
  • eBook ISBN 978-3-540-38233-1
  • Series ISSN 1434-9922
  • Series E-ISSN 1860-0808
  • Edition Number 1
  • Number of Pages XXI, 487
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Mathematical and Computational Engineering
    Artificial Intelligence
  • Buy this book on publisher's site
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