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Titlebook: Digital Image Processing; Bernd Jähne Book 19974th edition Springer-Verlag Berlin Heidelberg 1997 Digital imaging processing.Radiologieinf

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书目名称Digital Image Processing
编辑Bernd Jähne
视频video
概述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
图书封面Titlebook: Digital Image Processing;  Bernd Jähne Book 19974th edition Springer-Verlag Berlin Heidelberg 1997 Digital imaging processing.Radiologieinf
描述Since the first edition of this book was published in 1986 it has found its way to many desks and classrooms. The fourth edition has bee completely revised and expanded to reflect the development of the field. The presentation and the selection of materials is guided by the needs of a researcher who wants to apply image processing techniques in his or her field. In this sense the book offers an integral view of image processing from image acquisition to the extraction of 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 CD-ROM contains examples, images as well as exercises for selfstudy along with a hand-on version of the image processing software heurisko.
出版日期Book 19974th edition
关键词Digital imaging processing; Radiologieinformationssystem; Textbook; algorithms; classification; image ana
版次4
doihttps://doi.org/10.1007/978-3-662-03477-4
isbn_ebook978-3-662-03477-4
copyrightSpringer-Verlag Berlin Heidelberg 1997
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Applications and Toolsverbal description and manual drawings. The next major step was the invention of . which enabled results to be documented objectively. Three prominent examples of scientific applications of photography are ., and .. Astronomers were able to measure positions and magnitudes of stars and photogrammete
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Multiscale Representationtures at scales of at most a few pixels distance. It is obvious that images contain information also at larger scales. To extract object features at these larger scales, we need correspondingly larger filter masks. The use of large masks, however, results in a significant increase in computational c
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Averages and Edgesmplementary to each other and of central importance for low-level image processing. They are both the basis for object recognition and — together with point operations — the building blocks for the more complex feature extraction operators discussed in Chaps. 11–13.
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Shape Analysis to which object. Now we can perform the next step and analyze the . of the objects. First, we discuss a class of neighborhood operations, the morphological operators on binary images, which work on the form of objects (Sect. 15.2). Second, we consider the question of how to represent a segmented ob
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