Isabelle Bloch, Anca Ralescu

Fuzzy Sets Methods in Image Processing and Understanding (eBook, PDF)

Medical Imaging Applications

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 302
• Erscheinungstermin: 1. Januar 2023
• Englisch
• ISBN-13: 9783031194252
• Artikelnr.: 67152481

Autorenporträt

Isabelle Bloch is a Professor at Telecom ParisTech.

Anca Ralescu is a Professor at the University of Cincinnati.

Inhaltsangabe

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.