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Computational Intelligence in Image Processing

  • Amitava Chatterjee
  • Patrick Siarry

Table of contents

  1. Front Matter
    Pages i-xii
  2. Image Preprocessing Algorithms

    1. Front Matter
      Pages 1-1
    2. N. M. Kwok, D. Wang, Q. P. Ha, G. Fang, S. Y. Chen
      Pages 21-36
    3. Ilhem Boussaïd, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer
      Pages 37-69
    4. Hugo Alberto Perlin, Heitor Silvério Lopes
      Pages 71-90
  3. Image Compression Algorithms

    1. Front Matter
      Pages 91-91
    2. George E. Tsekouras, Dimitrios M. Tsolakis
      Pages 93-105
    3. Ferdinando Di Martino, Salvatore Sessa
      Pages 107-130
    4. Nandita Sanyal, Amitava Chatterjee, Sugata Munshi
      Pages 131-152
  4. Image Analysis Algorithms

    1. Front Matter
      Pages 153-153
    2. Rajshree Mandal, Anisha Halder, Amit Konar, Atulya K Nagar
      Pages 155-172
    3. Ferdinando Di Martino, Salvatore Sessa
      Pages 173-186
    4. Mattia Broilo, Francesco G. B. De Natale
      Pages 201-215
    5. Sebastiano Battiato, Giovanni Maria Farinella, Daniele Ravì, Mirko Guarnera, Giuseppe Messina
      Pages 217-249
  5. Image Inferencing Algorithms

    1. Front Matter
      Pages 251-251
    2. Po-Whei Huang, Cheng-Hsiung Lee, Phen-Lan Lin
      Pages 253-263
    3. Farid Melgani, Edoardo Pasolli
      Pages 265-280
    4. Anisha Halder, Srishti Shaw, Kanika Orea, Pavel Bhowmik, Aruna Chakraborty, Amit Konar
      Pages 281-298
  6. Back Matter
    Pages 299-301

About this book

Introduction

Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems.

Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and it is suitable as a reference for engineers, researchers and graduate students.

Keywords

computational intelligence digital images digital watermarking evolutionary algorithms evolutionary computing fuzzy transforms genetic programming image analysis image compression image inferencing image processing image retrieval neurofuzzy techniques optimization

Editors and affiliations

  • Amitava Chatterjee
    • 1
  • Patrick Siarry
    • 2
  1. 1., Electrical Engineering DepartmentJadavpur UniversityKolkataIndia
  2. 2., LISSIUniversity of Paris-Est CréteilCréteilFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30621-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-30620-4
  • Online ISBN 978-3-642-30621-1
  • Buy this book on publisher's site
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