Chapters 9-10 describe the use of color information for static stereo analysis. By viewing objects from different locations, one can better determine their positions in a three dimensional area. Investigations for edge-based as well as area-based color stereo techniques are discussed. You will see how stereo matching results can be significantly improved by projecting color-coded light patterns onto the object.

Here also, the effects of motion or photometric changes due to lighting are considered, as is the inclusion of color information into dynamic and photometric stereo analysis.

Chapters 11-13 address case studies of color use in an automated video tracking and location system that is under development at the University of Tennessee's Imaging Robotics, and Intelligent Systems (IRIS) Laboratory. Covered here is the acquisition and analysis of multi-spectral images and its use in face recognition as well as the application of color coding in x-ray imaging in luggage scans to identify threats during airport screenings.

In addition to introducing you to important new technologies in the field, Digital Color Image Processing also covers topics such as techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and video surveillance. Digital Color Image Processing is well written. It will take the reader beyond the standard of image processing and should prove to be a complement to existing textbooks in its field.

Digital Color Image Processing is a technical book aimed at the student, as well as the professional, who is trying to get a handle on vector-value image functions. This book is recommended for first and second-year graduate students in electrical and computer engineering and computer science courses, as well as for researchers with basic knowledge in image processing who wish to extend their knowledge in the area of color image processing.