Digital Image Processing
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Beschreibung
This book offers an integral view of image processing from image acquisition to the extraction of the data of interest. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. The fifth edition has been completely revised and extended. The most notable extensions include a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. The complete.text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. The CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practical exercises.
This chapter centers around the question of how to represent the infor mation contained in images. Together with the next two chapters it lays the mathematical foundations for low-Ievel image processing. Two key points are emphasized in this chapter. First, the information contained in images can be represented in en tirely different ways. The most important are the spatial representation (Section 2.2) and wave number representation (Section 2.3). These repre sentations just look at spatial data from different points of view. Since the various representations are complete and equivalent, they can be converted into each other. The conversion between the spatial and wave number representation is the well-known Fourier transform. This trans form is an example of a more general dass of operations, the unitary transforms (Section 2.4). Second, we discuss how these representations can be handled with digital computers. How are images represented by arrays of digital num bers in an adequate way? How are these data handled efficiently? Can fast algorithms be devised to convert one representation into another? A key example is the fast Fourier transform, discussed in Section 2.5. 2.2 Spatial Representation of Digital Images 2.2.1 Pixel and Voxel Images constitute a spatial distribution of the irradiance at a plane.
A systematic approach to digital image processing
Uses examples and images to illustrate basic concepts
The CD-ROM contains all the images and artwork shown in the book, plus a run-time version of the image software heurisko
This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. The fifth edition has been completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. The complete text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. The CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practical exercises.
Autor*in
Bernd Jähne
Themen in »Digital Image Processing«
Digital Imaging Digital imaging processing Textbook algorithms classification image analysis image processing image processing system image sequences pattern recognition statistics stereoscopy