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.
This book also:
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
Isabelle Bloch
Fuzzy sets methods in medical imaging Medical image processing Medical image analysis Medical image understanding Medical object recognition Fuzzy sets methods in imagine processing Medical imaging fuzzy fusion Medical imaging fuzzy machine learning Fuzzy mathematical morphology Basic fuzzy operations Machine learning in imagine processing Advanced fuzzy methods