Overview
- Describes the mathematical practice of fuzzy categorization, representation and reasoning
- Shows how to interpret and think with fuzzy pictures and fuzzy data
- Offers a practical introduction to fuzzy visual reasoning
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 348)
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Table of contents (22 chapters)
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Front Matter
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Part 1
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Front Matter
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Part 2
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Front Matter
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Keywords
About this book
This book presents a comprehensive discussion on the characterization of vagueness in pictures. It reports on how the problem of representation of images has been approached in scientific practice, highlighting the role of mathematical methods and the philosophical background relevant for issues such as representation, categorization and reasoning. Without delving too much into the technical details, the book examines and defends different kinds of values of fuzziness based on a complex approach to categorization as a practice, adopting conceptual and empirical suggestions from different fields including the arts. It subsequently advances criticisms and provides suggestions for interpretation and application. By describing a cognitive framework based on fuzzy, rough and near sets, and discussing all of the relevant mathematical and philosophical theories for the representation and processing of vagueness in images, the book offers a practice-oriented guide to fuzzy visual reasoning,along with novel insights into the field of interpreting and thinking with fuzzy pictures and fuzzy data.
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Pictures as Philosophical Problem and Scientific Practice
Book Subtitle: A Study of Visual Vagueness
Authors: Jordi Cat
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-47190-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-47189-1Published: 29 November 2016
Softcover ISBN: 978-3-319-83674-4Published: 04 July 2018
eBook ISBN: 978-3-319-47190-7Published: 21 November 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 194
Number of Illustrations: 13 b/w illustrations
Topics: Computational Intelligence, Philosophy of Science, Image Processing and Computer Vision, Artificial Intelligence