Bloch / Ralescu Fuzzy Sets Methods in Image Processing and Understanding

Medical Imaging Applications
1. Auflage 2023
ISBN: 978-3-031-19425-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 302 Seiten

Reihe: Biomedical and Life Sciences

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  

Zielgruppe

Research

Autoren/Hrsg.

Bloch, Isabelle

Ralescu, Anca

Inhaltsverzeichnis

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.

Über Autor(innen)

Isabelle Bloch is a Professor at Telecom ParisTech.
Anca Ralescu is a Professor at the University of Cincinnati.