Items related to Mathematical Morphology: From Theory to Applications
Synopsis
Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface meshes, solids, and other spatial structures. This book presents an up-to-date treatment of mathematical morphology, based on the three pillars that made it an important field of theoretical work and practical application: a solid theoretical foundation, a large body of applications and an efficient implementation.
The book is divided into five parts and includes 20 chapters. The five parts are structured as follows:
- Part I sets out the fundamental aspects of the discipline, starting with a general introduction, followed by two more theory-focused chapters, one addressing its mathematical structure and including an updated formalism, which is the result of several decades of work.
- Part II extends this formalism to some non-deterministic aspects of the theory, in particular detailing links with other disciplines such as stereology, geostatistics and fuzzy logic.
- Part III addresses the theory of morphological filtering and segmentation, featuring modern connected approaches, from both theoretical and practical aspects.
- Part IV features practical aspects of mathematical morphology, in particular how to deal with color and multivariate data, links to discrete geometry and topology, and some algorithmic aspects; without which applications would be impossible.
- Part V showcases all the previously noted fields of work through a sample of interesting, representative and varied applications.
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About the Author
Laurent Najman is Professor in the Informatics Department of ESIEE, Paris and a member of the Institut Gaspard Monge, Paris-Est Marne-la-Vallée University in France. His current research interest is discrete mathematical morphology.
Hugues Talbot is Associate Professor at ESIEE, Paris, France. His research interests include mathematical morphology, image segmentation, thin feature analysis, texture analysis, discrete and continuous optimization and associated algorithms.
"About this title" may belong to another edition of this title.
- PublisherWiley-ISTE
- Publication date2010
- ISBN 10 1848212151
- ISBN 13 9781848212152
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages507
- EditorNajman Laurent, Talbot Hugues
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ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848212151
ISBN 13: 9781848212152
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Condition: New. Mathematical morphology was historically the first non-linear theory in the field of image processing. It rests on three pillars that make its success: a solid theory, a wide scope, and an effective implementation. Editor(s): Najman, Laurent; Talbot, Hugues. Num Pages: 528 pages, Illustrations, maps. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 165 x 241 x 34. Weight in Grams: 920. . 2010. . . . . Seller Inventory # V9781848212152
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