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Titlebook: Image Structure; Luc Florack Book 1997 Springer Science+Business Media Dordrecht 1997 computer.computer vision.differential geometry.image

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發(fā)表于 2025-3-21 16:59:55 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image Structure
編輯Luc Florack
視頻videohttp://file.papertrans.cn/462/461463/461463.mp4
叢書名稱Computational Imaging and Vision
圖書封面Titlebook: Image Structure;  Luc Florack Book 1997 Springer Science+Business Media Dordrecht 1997 computer.computer vision.differential geometry.image
描述Despite the fact that images constitute the main objects incomputer vision and image analysis, there is remarkably little concernabout their actual definition. In this book a complete account ofimage structure is proposed in terms of rigorously defined machineconcepts, using basic tools from algebra, analysis, and differentialgeometry. Machine technicalities such as discretisation andquantisation details are de-emphasised, and robustness with respect tonoise is manifest. .From the foreword by Jan Koenderink: ..`.It is my hope that the book will find a wide audience,including physicists - who still are largely unaware of thegeneral importance and power of scale space theory, mathematicians- who will find in it a principled and formally tightexposition of a topic awaiting further development, and computerscientists - who will find here a unified and conceptually wellfounded framework for many apparently unrelated and largelyhistorically motivated methods they already know and love. The book issuited for self-study and graduate courses, the carefully formulatedexercises are designed to get to grips with the subject matter andprepare the reader for original research..‘.
出版日期Book 1997
關鍵詞computer; computer vision; differential geometry; image analysis; noise
版次1
doihttps://doi.org/10.1007/978-94-015-8845-4
isbn_softcover978-90-481-4937-7
isbn_ebook978-94-015-8845-4Series ISSN 1381-6446
issn_series 1381-6446
copyrightSpringer Science+Business Media Dordrecht 1997
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:45:44 | 只看該作者
Introduction,rs”) that capture the field’s . structure.. It may also represent a scalar aspect of another type of field, such as a “scalar density” (.) or a vector field (..). Typical examples are proton density in a magnetic resonance scan and grey-tone in a colour image.
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地板
發(fā)表于 2025-3-22 08:06:35 | 只看該作者
Local Samples and Images,An image is a . set of .. It is the purpose of this chapter to turn this statement into a precise, operational definition. To begin with, we shall take it for granted that spacetime is a ., not because it ., but simply because a flotilla of useful mathematical tools is based on this hypothesis. See e.g. Herman Weyl [296]:
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發(fā)表于 2025-3-22 09:50:55 | 只看該作者
The Scale-Space Paradigm,The conclusion reached at the end of Chapter 3 can be summarised by the following .
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Image Structure978-94-015-8845-4Series ISSN 1381-6446
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發(fā)表于 2025-3-23 02:53:50 | 只看該作者
Introduction,rs”) that capture the field’s . structure.. It may also represent a scalar aspect of another type of field, such as a “scalar density” (.) or a vector field (..). Typical examples are proton density in a magnetic resonance scan and grey-tone in a colour image.
10#
發(fā)表于 2025-3-23 08:51:14 | 只看該作者
Local Image Structure,ves taken at a fixed point in scale-space. Multilocal properties take into account multiple local neighbourhoods. (Note that certain multilocal properties may have a local interpretation at a coarser level of scale or at a higher order of differentiation.) Local properties are the building blocks on
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