Fuzzy Sets Methods in Image Processing and Understanding
Medical Imaging Applications
(Sprache: Englisch)
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...
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Klappentext zu „Fuzzy Sets Methods in Image Processing and Understanding “
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.
Inhaltsverzeichnis zu „Fuzzy Sets Methods in Image Processing and Understanding “
Introduction.- Preliminaries.- Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations).- Mathematical morphology.- Distances and similarities between fuzzy sets.- Machine learning in image processing and understanding.- Fusion.- Spatial relations.- Structural representations.
Autoren-Porträt von Isabelle Bloch, Anca Ralescu
Isabelle Bloch is a Professor at Telecom ParisTech.Anca Ralescu is a Professor at the University of Cincinnati.
Bibliographische Angaben
- Autoren: Isabelle Bloch , Anca Ralescu
- 2023, 1st ed. 2023, XIII, 302 Seiten, 45 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3031194241
- ISBN-13: 9783031194245
Sprache:
Englisch
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