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.
By:
Isabelle Bloch, Anca Ralescu Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 2023 ed. Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 641g ISBN:9783031194245 ISBN 10: 3031194241 Pages: 302 Publication Date:02 January 2023 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
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.
Isabelle Bloch is a Professor at Telecom ParisTech. Anca Ralescu is a Professor at the University of Cincinnati.