001454179 000__ 03475cam\a22005177i\4500
001454179 001__ 1454179
001454179 003__ OCoLC
001454179 005__ 20230314003505.0
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001454179 007__ cr\cn\nnnunnun
001454179 008__ 230125s2023\\\\sz\\\\\\ob\\\\001\0\eng\d
001454179 019__ $$a1356795735$$a1356797679$$a1357014649
001454179 020__ $$a9783031194252$$q(electronic bk.)
001454179 020__ $$a303119425X$$q(electronic bk.)
001454179 020__ $$z3031194241
001454179 020__ $$z9783031194245
001454179 0247_ $$a10.1007/978-3-031-19425-2$$2doi
001454179 035__ $$aSP(OCoLC)1365379529
001454179 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dYDX$$dOCLCQ
001454179 049__ $$aISEA
001454179 050_4 $$aTA1637.5$$b.B56 2023
001454179 08204 $$a621.367015113223$$223/eng/20230125
001454179 1001_ $$aBloch, Isabelle,$$eauthor.
001454179 24510 $$aFuzzy sets methods in image processing and understanding :$$bmedical imaging applications /$$cIsabelle Bloch, Anca Ralescu.
001454179 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023]
001454179 300__ $$a1 online resource
001454179 336__ $$atext$$btxt$$2rdacontent
001454179 337__ $$acomputer$$bc$$2rdamedia
001454179 338__ $$aonline resource$$bcr$$2rdacarrier
001454179 504__ $$aIncludes bibliographical references and index.
001454179 5050_ $$aIntroduction -- 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.
001454179 506__ $$aAccess limited to authorized users.
001454179 520__ $$aThis 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 .
001454179 588__ $$aDescription based on online resource; title from digital title page (viewed on January 30, 2023).
001454179 650_0 $$aImage processing$$xMathematics.
001454179 650_0 $$aFuzzy sets.
001454179 650_0 $$aDiagnostic imaging$$xMathematics.
001454179 655_0 $$aElectronic books.
001454179 7001_ $$aRalescu, Anca L.,$$d1949-$$eauthor.
001454179 77608 $$iPrint version:$$aBLOCH, ISABELLE. RALESCU, ANCA.$$tFUZZY SETS METHODS IN IMAGE PROCESSING AND UNDERSTANDING.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2022$$z3031194241$$w(OCoLC)1346071908
001454179 852__ $$bebk
001454179 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19425-2$$zOnline Access$$91397441.1
001454179 909CO $$ooai:library.usi.edu:1454179$$pGLOBAL_SET
001454179 980__ $$aBIB
001454179 980__ $$aEBOOK
001454179 982__ $$aEbook
001454179 983__ $$aOnline
001454179 994__ $$a92$$bISE