| 书目名称 | Image Structure | | 编辑 | Luc Florack | | 视频video | | | 丛书名称 | Computational Imaging and Vision | | 图书封面 |  | | 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 | | 关键词 | computer; computer vision; differential geometry; image analysis; noise | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-8845-4 | | isbn_softcover | 978-90-481-4937-7 | | isbn_ebook | 978-94-015-8845-4Series ISSN 1381-6446 | | issn_series | 1381-6446 | | copyright | Springer Science+Business Media Dordrecht 1997 |
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发表于 2025-3-21 16:59:55
