Color Medical Image Analysis

  • M. Emre Celebi
  • Gerald Schaefer

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 6)

Table of contents

  1. Front Matter
    Pages I-X
  2. Lucia Ballerini, Robert B. Fisher, Ben Aldridge, Jonathan Rees
    Pages 63-86
  3. M. Emre Celebi, Quan Wen, Sae Hwang, Gerald Schaefer
    Pages 87-107
  4. Daniel Welfer, Jacob Scharcanski, Pablo Gautério Cavalcanti, Diane Ruschel Marinho, Laura W. B. Ludwig, Cleyson M. Kitamura et al.
    Pages 109-127
  5. Mark Fisher, Michal Mackiewicz
    Pages 129-144
  6. Xuqing Wu, Shishir Shah, Fatima Merchant
    Pages 145-163
  7. Gloria Bueno, Oscar Déniz, Jesús Salido, M. Milagro Fernández, Noelia Vállez, Marcial García-Rojo
    Pages 165-180
  8. Aurora Sáez, Carmen Serrano, Begoña Acha
    Pages 181-202
  9. Back Matter
    Pages 203-204

About this book


Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images.

The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.


color imaging computer-aided diagnosis medical image analysis thermal imaging

Editors and affiliations

  • M. Emre Celebi
    • 1
  • Gerald Schaefer
    • 2
  1. 1.Computer Science DepartmentLouisiana State University ShreveportShreveportUSA
  2. 2., Department of Computer ScienceLoughborough UniversityLoughboroughUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Dordrecht 2013
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-94-007-5388-4
  • Online ISBN 978-94-007-5389-1
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • Buy this book on publisher's site