Handbook of Image Processing Operators Reinhard Klette Berlin Technical University, Germany Piero Zamperoni Braunschweig Technical University, Germany The practical applications of digital image processing have expanded significantly in recent years. Interest is increasing over a wide range of disciplines, from computer vision to biomedical imaging and mechanical inspection. An invaluable reference source for all who work in image processing, this text describes the complete range of standard image processing operators and transformations. Coverage spans the fundamentals of image processing, introducing the basic terminology, describing the general control structures and illustrating a range of algorithmical procedures. The major strength of this book lies in its practical approach, offering the user operative solutions to a broad range of specific application problems in image analysis, image enhancement and feature extraction. To this end it serves as a reference to select the most suitable operators for any given problem. After the introductory chapters, each operator is presented in the same form: characterization, mathematical definition, comments and algorithmic aspects, pseudo-program, and bibliographic references. An indispensable guide for computer applications engineers at a professional, academic or research level in communications, natural sciences, medicine, and robotics who have to solve field-specific application problems using advanced digital image processing techniques. The source codes for all the operators described in the text are available on disk for UNIX and MS-DOS systems, see inside for details.
Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to ...
This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom.
Lower row: e – h reconstructions of the images shown above; courtesy of Dr. Schmitt and Prof. Dr. Komitowski, German Cancer Research Center, Heidelberg. If true three-dimensional objects and not only surfaces are involved, ...
This is the first handbook on image engineering, and provides a well-structured, comprehensive overview of this new discipline. It also offers detailed information on the various image techniques.
The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in ...
The concepts, algorithms, and scientific applications of established as well as more recent image processing techniques are discussed in (Jähne, 2001) and (Jâhne et al., 1999). A handbook of image processing operators including numerous ...
(2011) Accurate 3D registration of magnetic resonance images for detecting local changes in cartilage thickness, Journal of Electronic Imaging 20(2):023002. Y. K. Chen-Weigart et al. (2012) 3D morphological evolution of Li-ion battery ...
Handbook of Image Processing Operators, Wiley, Chichester NY, 1996 4 Edge Detection Edge detection is one of the central. GONZALEZ, R., R. WOODS. Digital Image Processing, Addison-Wesley, Reading MA, ...
The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies.
This practical introduction focuses on how to build integrated solutions to industrial vision problems from individual algorithms.