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Can I read Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics) on EtoBox?

Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics) by Reinhard Klette and Azriel Rosenfeld (Auth.) is a nonfiction available to read on EtoBox.

What is Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics) about?

* "[This is] a serious work. The authors have made a huge effort to present the major problems of digital geometry...It will be a very useful resource for a diversity of readers from engineers to mathematicians and from undergraduate students to scientists at the highest level." Dr. Jovisa Zunic, Cardiff University "This book would be a great asset for professionals in the field of picture analysis, and would be ideal as a textbook in graduate courses on that subject. One must note that the book uses a standard mathematical/technical language, instead of image processing jargon, and thus is very appropriate for those engineers and scientists in other specialties who need to learn about, and work with, computer pictures." - Computing Reviews Content: Preface, __Pages v-x__Structure of this book, __Pages xi-xiii__Errata, __Page xix__Introduction, __Pages 1-34__Chapter 2 - Grids and Digitization, __Pages 35-75__Chapter 3 - Metrics, __Pages 77-116__Chapter 4 - Adjacency Graphs, __Pages 117-157__Chapter 5 - Incidence Pseudographs, __Pages 159-191__Chapter 6 - Topology, __Pages 193-230__Chapter 7 - Curves and Surfaces: Topology, __Pages 231-268__Chapter 8 - Curves and Surfaces: Geometry

Who reads Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Reinhard Klette and Azriel Rosenfeld (Auth.)
Publisher
Morgan Kaufmann Publishers is an imprint of Elsevier
Published
2004
Language
EN
ISBN
9786611010126
Category
nonfiction
Subjects
Technology, Engineering, Mathematics

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