Andreas Koschan & Mongi Abidi 
Digital Color Image Processing 

An introduction to color in three-dimensional image processing and
the emerging area of multi-spectral image processing

The importance of color information in digital image processing
is greater than ever. However, the transition from scalar to
vector-valued image functions has not yet been generally covered in
most textbooks. Now, Digital Color Image Processing fills this
pressing need with a detailed introduction to this important
topic.

In four comprehensive sections, this book covers:

* The fundamentals and requirements for color image processing
from a vector-valued viewpoint

* Techniques for preprocessing color images

* Three-dimensional scene analysis using color information, as
well as the emerging area of multi-spectral imaging

* Applications of color image processing, presented via the
examination of two case studies

In addition to introducing readers to important new technologies
in the field, Digital Color Image Processing also contains novel
topics such as: techniques for improving three-dimensional
reconstruction, three-dimensional computer vision, and emerging
areas of safety and security applications in luggage inspection and
video surveillance of high-security facilities.

Complete with full-color illustrations and two applications
chapters, Digital Color Image Processing is the only book that
covers the breadth of the subject under one convenient cover. It is
written at a level that is accessible for first- and second-year
graduate students in electrical and computer engineering and
computer science courses, and that is also appropriate for
researchers who wish to extend their knowledge in the area of color
image processing.

Table of Content

Preface xiii

Acknowledgment xv

1. Introduction 1

2. Eye and Color 23

3. Color Spaces and Color Distances 37

4. Color Image Formation 71

5. Color Image Enhancement 99

6. Edge Detection in Color Images 125

7. Color Image Segmentation 149

8. Highlights, Interreflections, and Color Constancy 177

9. Static Stereo Analysis in Color Images 219

10. Dynamic and Photometric Stereo Analyses in Color Images 253

11. Color-Based Tracking with PTZ Cameras 267

12. Multispectral Imaging for Biometrics 301

13. Pseudo-Coloring in Single Energy X-Ray Images 339

Index 373

About the author

ANDREAS KOSCHAN, PHD, is a Research Associate Professor with the Department of Electrical Engineering and Computer Science, University of Tennessee. His research interests include three-dimensional computer vision and, in particular, shape recovery using binocular stereo vision and laser range-finding techniques. He is also interested in the utilization of color information in digital image processing. He is the coauthor of three other books.

MONGI ABIDI, PHD, is a Professor and Associate Head in the Department of Electrical Engineering and Computer Science, University of Tennessee. Dr. Abidi directs activities in the Imaging, Robotics, and Intelligent Systems Laboratory, and conducts research in the field of three-dimensional imaging, specifically in the areas of scene building, scene description, and data visualization.