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© 2014

Advances in Low-Level Color Image Processing

  • M. Emre Celebi
  • Bogdan Smolka

Benefits

  • This is the first book that specifically addresses the early stages of the color image processing procedure

  • The book contains the state-of-the-art in low-level color image processing in a single comprehensive volume

  • Each chapter is contributed by a leading expert in the field

Book

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 11)

Table of contents

  1. Front Matter
    Pages i-x
  2. Dohyoung Lee, Konstantinos N. Plataniotis
    Pages 55-94
  3. Djordje Baljozović, Aleksandra Baljozović, Branko Kovačević
    Pages 137-194
  4. Johan Debayle, Jean-Charles Pinoli
    Pages 195-222
  5. Santiago Velasco-Forero, Jesus Angulo
    Pages 223-239
  6. Sébastien Lefèvre, Erchan Aptoula, Benjamin Perret, Jonathan Weber
    Pages 241-277
  7. Rodrigo Moreno, Miguel Angel Garcia, Domenec Puig
    Pages 279-301
  8. Teresa Alarcon, Oscar Dalmau
    Pages 303-327
  9. Michal Kawulok, Jakub Nalepa, Jolanta Kawulok
    Pages 329-366
  10. Dohyoung Lee, Jeaff Wang, Konstantinos N. Plataniotis
    Pages 367-407
  11. Richard M. Jiang, Ahmed Bouridane, Abbes Amira
    Pages 409-425

About this book

Introduction

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel  ones.
The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.

Keywords

Color Image Processing Color Image Segmentation Multispectral Image Processing

Editors and affiliations

  • M. Emre Celebi
    • 1
  • Bogdan Smolka
    • 2
  1. 1.Computer Science dept.Louisiana State UniversityShreveportUSA
  2. 2.Automatic ControlSilesian University of TechnologyGliwicePoland

Bibliographic information

  • Book Title Advances in Low-Level Color Image Processing
  • Editors M. Emre Celebi
    Bogdan Smolka
  • Series Title Lecture Notes in Computational Vision and Biomechanics
  • Series Abbreviated Title Lect. Notes Computational Vision
  • DOI https://doi.org/10.1007/978-94-007-7584-8
  • Copyright Information Springer Science+Business Media Dordrecht 2014
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-94-007-7583-1
  • Softcover ISBN 978-94-024-0088-5
  • eBook ISBN 978-94-007-7584-8
  • Series ISSN 2212-9391
  • Series E-ISSN 2212-9413
  • Edition Number 1
  • Number of Pages X, 425
  • Number of Illustrations 28 b/w illustrations, 148 illustrations in colour
  • Topics Image Processing and Computer Vision
    Signal, Image and Speech Processing
    Imaging / Radiology
  • Buy this book on publisher's site
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