Fuzzy Sets Methods in Image Processing and Understanding - Medical Imaging Applications

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.

List of contents

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.

About the author

Isabelle Bloch is a Professor at Telecom ParisTech.

Anca Ralescu is a Professor at the University of Cincinnati.

Product details

• Authors: Isabelle Bloch, Anca Ralescu
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 03.01.2024
• EAN: 9783031194276
• ISBN: 978-3-0-3119427-6
• No. of pages: 302
• Dimensions: 155 mm x 17 mm x 235 mm
• Illustrations: XIII, 302 p. 97 illus., 45 illus. in color.
• Subject: Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering