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Elements of digital geometry, mathematical morphology, and discrete optimization

By: Kiselman, Christer Oscar.
Material type: materialTypeLabelBookPublisher: New Jersey : World Scientific, 2022Description: xxiii, 641 p. ; ill. (some col.), 24 cm.ISBN: 9789811248290.Subject(s): Applications mathematics | Computer graphics Mathematics | Digital filters | Discrete mathematics | Geometry data processing | Image processing | Digital techniques mathematics | Mappings | Digital straightness | Digital geometry | Mathematical morphology | Discrete optimization | Discrete convexityDDC classification: 006.6 Summary: The author presents three distinct but related branches of science in this book: digital geometry, mathematical morphology, and discrete optimization. They are united by a common mindset as well as by the many applications where they are useful. In addition to being useful, each of these relatively new branches of science is also intellectually challenging. The book contains a systematic study of inverses of mappings between ordered sets, and so offers a uniquely helpful organization in the approach to several phenomena related to duality. To prepare the ground for discrete convexity, there are chapters on convexity in real vector spaces in anticipation of the many challenging problems coming up in digital geometry. To prepare for the study of new topologies introduced to serve in discrete spaces, there is also a chapter on classical topology. The book is intended for general readers with a modest background in mathematics and for advanced undergraduate students as well as beginning graduate students.
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Includes bibliographical references and indexes.

The author presents three distinct but related branches of science in this book: digital geometry, mathematical morphology, and discrete optimization. They are united by a common mindset as well as by the many applications where they are useful. In addition to being useful, each of these relatively new branches of science is also intellectually challenging. The book contains a systematic study of inverses of mappings between ordered sets, and so offers a uniquely helpful organization in the approach to several phenomena related to duality. To prepare the ground for discrete convexity, there are chapters on convexity in real vector spaces in anticipation of the many challenging problems coming up in digital geometry. To prepare for the study of new topologies introduced to serve in discrete spaces, there is also a chapter on classical topology. The book is intended for general readers with a modest background in mathematics and for advanced undergraduate students as well as beginning graduate students.

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