Koschan A., Abidi M.A. Digital Color Image Processing

John Wiley, 2008. — 382 p.Color information is gaining an ever-greater importance in digital image processing. Nevertheless, the leap to be mastered by the transition from scalar to vector-valued image functions is not yet generally addressed in most textbooks on digital image processing. The main goal of this book is to clarify the significance of vector-valued color image processing and to introduce the reader to new technologies. The present state of the art in several areas of digital color image processing is presented in regard to a systematic division into monochromaticbased and newer vector-valued techniques. The potentials and the requirements in vector-valued color image processing are shown.
This text is organized in regard to advanced techniques for three-dimensional scene analysis in color images. It is structured into four parts. The first four chapters illustrate the fundamentals and requirements for color image processing. In the next four chapters, techniques for preprocessing color images are discussed. In subsequent chapters, the areas of three-dimensional scene analysis using color information and of color-based tracking with PTZ cameras are viewed. In the final two chapters, the new area of multispectral imaging and a case study on applications of color image processing are presented. For selected areas of digital color image processing such as edge detection, color segmentation, interreflection analysis, and stereo analysis, techniques are discussed in detail in order to clarify the respective complexity of the algorithms.
Chapter 12 on multispectral imaging addresses an emerging area in the field of image processing that is not yet covered in detail in textbooks. It is further augmented by a subsection on face recognition using multispectral imaging. The three case studies presented in the final three chapters summarize the results and experience gained by the authors in luggage inspection, video surveillance, and biometrics in research projects that have been funded by the National Safe Sky Alliance, the National Science Foundation, and the U.S. Department of Energy over multiple years. Several algorithms have been tested and evaluated under real conditions in a local airport.
This text is written at a level that can be easily understood by first and second year graduate students in Electrical and Computer Engineering or Computer Science as well as by researchers with basic knowledge in image processing who want to extend their understanding in the area of color image processing. The book instructs the reader beyond the standard of image processing and is a complement to existing textbooks in its field. Furthermore, the three application chapters on assisting screeners in luggage inspection in airports, video surveillance of high security facilities, and multispectral face recognition for authentication address recent problems of high importance to current safety and security issues. These chapters significantly augment the book’s content.Eye and Color
Color Spaces and Color Distances
Color Image Formation
Color Image Enhancement
Edge Detection in Color Images
Color Image Segmentation
Highlights, Interreflections, and Color Constancy
Static Stereo Analysis in Color Images
Dynamic and Photometric Stereo Analyses in Color Images
Color-Based Tracking with PTZ Cameras
Multispectral Imaging for Biometrics
Pseudocoloring in Single-Energy X-Ray Images