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OverviewThis 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. Full Product DetailsAuthor: Isabelle Bloch , Anca RalescuPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Weight: 0.641kg ISBN: 9783031194245ISBN 10: 3031194241 Pages: 302 Publication Date: 02 January 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction2. Preliminaries3. Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations)4. Mathematical morphology5. Distances and similarities between fuzzy sets6. Machine learning in image processing and understanding7. Fusion8. Spatial relations9. Structural representations.ReviewsAuthor InformationIsabelle Bloch is a Professor at Telecom ParisTech. Anca Ralescu is a Professor at the University of Cincinnati. Tab Content 6Author Website:Countries AvailableAll regions |
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