Discrete Geometry for Computer Imagery - 20th IAPR International Conference, DGCI 2017, Vienna, Austria, September 19 - 21, 2017, Proceedings

This book constitutes the thoroughly refereed proceedings of the 20th IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2017, held in Vienna, Austria, in September 2017. The 28 revised full papers presented together with 3 invited talks were carefully selected from 36 submissions. The papers are organized in topical sections on geometric transforms; discrete tomography; discrete modeling and visualization; morphological analysis; discrete shape representation, recognition and analysis; discrete and combinatorial topology; discrete models and tools; models for discrete geometry.

Summary

This book constitutes the thoroughly refereed proceedings of the 20th IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2017, held in Vienna, Austria, in September 2017. The 28 revised full papers presented together with 3 invited talks were carefully selected from 36 submissions. The papers are organized in topical sections on geometric transforms; discrete tomography; discrete modeling and visualization; morphological analysis; discrete shape representation, recognition and analysis; discrete and combinatorial topology; discrete models and tools; models for discrete geometry.

Product details

• Assisted by: Nicole M. Artner (Editor), Ines Janusch (Editor), Walter G. Kropatsch (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 22.08.2017
• EAN: 9783319662718
• ISBN: 978-3-31-966271-8
• No. of pages: 400
• Dimensions: 158 mm x 21 mm x 235 mm
• Weight: 622 g
• Illustrations: XI, 400 p. 171 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Computerhardware, Algorithmen und Datenstrukturen, Algorithms, Mustererkennung, Maschinelles Sehen, Bildverstehen, Theoretische Informatik, computer science, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Mathematical Applications in Computer Science, Algorithms & data structures, Mathematical & statistical software, Automated Pattern Recognition, Computer science—Mathematics, Maths for computer scientists, Optical data processing, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity, Image processing, Computer architecture & logic design, Arithmetic and logic units, Computer, Arithmetic and Logic Structures