Main description:

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.

Contents:

1. Introduction2. Preliminaries3. Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations)4. Mathematical morphology5. Distances and similarities between fuzzy sets6. Machine learning in image processing and understanding7. Fusion8. Spatial relations9. Structural representations.