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Dental Image Processing for Human Identification / / by Deven N. Trivedi, Nimit D. Shah, Ashish M. Kothari, Rohit M. Thanki



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Autore: Trivedi Deven N Visualizza persona
Titolo: Dental Image Processing for Human Identification / / by Deven N. Trivedi, Nimit D. Shah, Ashish M. Kothari, Rohit M. Thanki Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XI, 81 p. 59 illus., 22 illus. in color.)
Disciplina: 621.382
Soggetto topico: Signal processing
Image processing
Speech processing systems
Biomedical engineering
Biometrics (Biology)
Dentistry
Forensic science
Optical data processing
Signal, Image and Speech Processing
Biomedical Engineering and Bioengineering
Biometrics
Forensic Science
Image Processing and Computer Vision
Persona (resp. second.): ShahNimit D
KothariAshish M
ThankiRohit M
Nota di contenuto: Introduction -- Issues in Human Identification -- Standards of Medical Images -- Technical Background -- Dental Feature Extraction and Matching for Human Identification -- Future Directions.
Sommario/riassunto: This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operations. The book also provides information on a novel human identification approach that uses Infinite Symmetric Exponential Filter (ISEF) based edge detection and contouring algorithms. Provides complete details on dental imaging; Discusses the important features of a human identification approach and presents a brief review on DICOM standard for dental imaging; Presents human identification approach based on dental features.
Titolo autorizzato: Dental Image Processing for Human Identification  Visualizza cluster
ISBN: 3-319-99471-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337642003321
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