- Provides the latest fuzzy sets methods using higher level information for advanced tasks
- Shares many insights into fuzzy spatial objects, including fuzzy geometry
- Covers machine learning in image processing and understanding
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.
Table of Contents- Introduction
- Preliminaries
- Fuzzy Spatial Objects
- Fuzzy Mathematical Morphology
- Fusion
- Spatial Relations
- Fuzzy Sets and Machine Learning
- Structural and Linguistic Representations
- Structural and Linguistic Reasoning for Image Understanding
