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Digital Color Image Processing
John Wiley and Sons Ltd, May 2008, Pages: 376
This book is organized in regard to advanced techniques for three-dimensional scene analysis in color images, divided into four parts. In part one, the first four chapters illustrate the fundamentals and requirements for color image processing. In the following four chapters techniques for preprocessing color images are discussed. In subsequent chapters the area of three-dimensional scene analysis using color information and the new increasing area of multi-spectral imaging is viewed. In the last two chapters, two case studies on applications of color image processing are presented. For some selected areas of digital color image processing, e.g., for edge detection, color segmentation, interreflection analysis, and stereo analysis, techniques are discussed in detail in order to clarify the respective complexity of the solution for the problem. A Table of Contents of the book can be found in the appendix.
The material in the book is based on lectures and courses that have been taught by the authors at (1) The University of Tennessee, Department of Electrical and Computer Engineering, Knoxville, Tennessee, USA and (2) the Technical University of Berlin, Department of Computer Science, Berlin, Germany between 1991 and 2006. The chapter on multi-spectral image processing addresses a very new and 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 two case studies represented in the last two chapters summarize the results and experience gained by the authors in luggage inspection and video surveillance in research projects that have been funded by the National Safe Sky Alliance and the US Department of Energy over multiple years. The algorithms have been tested and evaluated under real conditions in a local airport.
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