Mathematical Nonlinear Image Processing, Edward R. Dougherty; Jaakko Astola
Автор: Gilles Aubert; Pierre Kornprobst Название: Mathematical Problems in Image Processing ISBN: 1441921826 ISBN-13(EAN): 9781441921826 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 2nd edition presents image analysis applications, outlines their precise mathematics and shows how to discretize them. It reviews progress in image processing applications covered by the PDE framework, and updates the existing material. Also provides programming tools for creating simulations.
Автор: Aubert Название: Mathematical Problems in Image Processing ISBN: 0387322000 ISBN-13(EAN): 9780387322001 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical questions.
Описание: Contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing. This book covers areas, such as: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, and interpolation.
Автор: Chan, Tony F. Jianhong, Shen Название: Image processing and analysis ISBN: 089871589X ISBN-13(EAN): 9780898715897 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12540.00 р. Наличие на складе: Нет в наличии.
Описание: This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
Описание: Provides the image analysis community with a sampling from the developments in the theoretical (deterministic and stochastic) and computational aspects of mathematical morphology and its applications to image and signal processing. This book consists of the papers presented at the ISMM`96.
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