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Titolo: |
Image Analysis and Recognition [[electronic resource] ] : 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings / / edited by Fakhri Karray, Aurélio Campilho, Farida Cheriet
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XVII, 673 p. 293 illus.) |
Disciplina: | 006.37 |
Soggetto topico: | Optical data processing |
Computers and civilization | |
Artificial intelligence | |
Data mining | |
Computer security | |
Data structures (Computer science) | |
Image Processing and Computer Vision | |
Computers and Society | |
Artificial Intelligence | |
Data Mining and Knowledge Discovery | |
Systems and Data Security | |
Data Structures and Information Theory | |
Persona (resp. second.): | KarrayFakhri |
CampilhoAurélio | |
CherietFarida | |
Note generali: | Includes index. |
Nota di contenuto: | Machine learning in image recognition -- Machine learning for medical image computing -- Image enhancement and reconstruction -- Image segmentation -- Motion and tracking -- 3D computer vision -- Feature extraction -- Detection and classification -- Biomedical image analysis -- Image analysis in ophthalmology -- Remote sensing -- Applications. |
Sommario/riassunto: | This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications. |
Titolo autorizzato: | Image Analysis and Recognition ![]() |
ISBN: | 3-319-59876-7 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996466283603316 |
Lo trovi qui: | Univ. di Salerno |
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