Paperback. This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing. This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Fuzzy Sets Methods in Image Processing and Understanding (Paperback)
Publisher: Springer International Publishing AG, Cham
Publication Date: 2024
Language: English
ISBN 10: 3031194276
ISBN 13: 9783031194276
Binding: Paperback
Condition: new

About this title

Synopsis

Enriches reader understanding of the latest fuzzy sets methods using higher level information (object or scene level) for advanced tasks, such as image understanding

Shares many insights into fuzzy spatial objects, including fuzzy geometry and topology as well as set theoretical operations

Covers in detail machine learning in image processing and understanding, with special focus on clustering, classification, and basic and advanced fuzzy methods

About the Author

Isabelle Bloch is a Professor at Telecom ParisTech.

Anca Ralescu is a Professor at the University of Cincinnati.

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