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Digital Color Image Processing

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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.
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