@article{1454179,
      recid = {1454179},
      author = {Bloch, Isabelle, and Ralescu, Anca L.,},
      title = {Fuzzy sets methods in image processing and understanding :  medical imaging applications /},
      pages = {1 online resource},
      abstract = {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 .},
      url = {http://library.usi.edu/record/1454179},
      doi = {https://doi.org/10.1007/978-3-031-19425-2},
}