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Fuzzy sets methods in image processing and understanding : medical imaging applications / Isabelle Bloch, Anca Ralescu.

9783031194252 (electronic bk.)
303119425X (electronic bk.)
3031194241
9783031194245

Cham, Switzerland : Springer, [2023]

English

1 online resource

10.1007/978-3-031-19425-2 doi

TA1637.5 .B56 2023

621.367015113223

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 also: 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 .

Includes bibliographical references and index.

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Description based on online resource; title from digital title page (viewed on January 30, 2023).

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