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

By: Trivedi, Deven N [author.].
Contributor(s): Shah, Nimit D [author.] | Kothari, Ashish M [author.] | Thanki, Rohit M [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XI, 81 p. 59 illus., 22 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319994710.Subject(s): Signal processing | Biomedical engineering | Biometric identification | Dentistry | Forensic sciences | Computer vision | Signal, Speech and Image Processing | Biomedical Engineering and Bioengineering | Biometrics | Dentistry | Forensic Science | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Issues in Human Identification -- Standards of Medical Images -- Technical Background -- Dental Feature Extraction and Matching for Human Identification -- Future Directions.
In: Springer Nature eBookSummary: 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.
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Introduction -- Issues in Human Identification -- Standards of Medical Images -- Technical Background -- Dental Feature Extraction and Matching for Human Identification -- Future Directions.

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.

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