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Titlebook: Digital Image Processing; Bernd J?hne Book 20025th edition Springer-Verlag Berlin Heidelberg 2002 Digital Imaging.Digital imaging processi

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發(fā)表于 2025-3-21 18:05:00 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Image Processing
編輯Bernd J?hne
視頻videohttp://file.papertrans.cn/280/279436/279436.mp4
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
圖書封面Titlebook: Digital Image Processing;  Bernd J?hne Book 20025th edition Springer-Verlag Berlin Heidelberg 2002 Digital Imaging.Digital imaging processi
描述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 S
出版日期Book 20025th edition
關鍵詞Digital Imaging; Digital imaging processing; Textbook; algorithms; classification; image analysis; image p
版次5
doihttps://doi.org/10.1007/978-3-662-04781-1
isbn_ebook978-3-662-04781-1
copyrightSpringer-Verlag Berlin Heidelberg 2002
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沙發(fā)
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Random Variables and Fields any scientist and engineer, was often neglected in the initial days of image processing. Using empirical and ill-founded techniques made reliable error estimates impossible. Fortunately, knowledge in image processing has advanced considerably. Nowadays, many sound image processing techniques are available that include reliable error estimates.
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Chronische Polyarthritis und Felty-Syndromis chapter, we discuss the simplest class of such patterns, which we will call simple neighborhoods. As an introduction, we examine what types of simple patterns can be used to make an object distinguishable from a background for the human visual system.
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Quantitative Visualizationndustrial applications require a different approach. There, the first task is to establish the quantitative relation between the object feature of interest and the emitted radiation. It is the aim of these efforts to map the object feature of interest with minimum possible distortion of the collected radiance by other parameters.
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Simple Neighborhoodsis chapter, we discuss the simplest class of such patterns, which we will call simple neighborhoods. As an introduction, we examine what types of simple patterns can be used to make an object distinguishable from a background for the human visual system.
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