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Dental Image Processing for Human Identification de Deven N. Trivedi

Dental Image Processing for Human Identification

Autor Deven N. Trivedi, Nimit D. Shah, Ashish M. Kothari, Rohit M. Thanki
en Limba Engleză Hardback – 15 feb 2019
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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Specificații

ISBN-13: 9783319994703
ISBN-10: 3319994700
Pagini: 80
Ilustrații: XI, 81 p. 59 illus., 22 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Issues in Human Identification.- Standards of Medical Images.- Technical Background.- Dental Feature Extraction and Matching for Human Identification.- Future Directions.

Notă biografică

Dr. Deven N. Trivedi obtained his Ph.D. in Dental Image Processing from C.U. Shah University, Wadhwan City, Gujarat, India in 2017. He worked in industry for 10 years and has more than nine years of teaching experience. His areas of research interest are Biometrics System and Image Processing. He has published more than 15 research papers with international journals and conferences and has also reviewed many papers for  various IEEE conferences.
Dr. Nimit Shah obtained his Ph.D. in Biomedical and Instrumentation from MS University, Baroda, Gujarat, India in 2013. He is working as an Associate professor and Head of Electrical Engineering, C.U. Shah College of Engineering & Technology, Gujarat, India. He is also a recognized Ph.D. supervisor C U Shah University, Wadhwan Gujarat, India. His areas of research interest are  Biomedical Instrumentation, Medical Diagnostic Technique and Equipment, Image Processing, Video Processing, and Signal Processing. He has carried out five research projects and has published more than 15 research papers in refereed and indexed journals and conferences at the international and national level.
Dr. Ashish M. Kothari obtained his Ph.D. in Digital Video Watermarking from JJT University, Rajasthan, India in 2013. He is working as an Associate professor and Head of Electronics and Communication Engineering, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. He is also a recognized Ph.D. supervisor at Gujarat Technological University, Ahmedabad, Gujarat, India. His areas of research interest are  Image Processing, Video Processing, Digital Watermarking and Signal Processing. He has published one book, a book chapter, and more than 25 research papers in refereed and indexed journals and conferences at the international and national level.
Dr. Rohit M. Thanki obtained his Ph.D. in Multibiometric System Security using CS Theory and Watermarking from C. U. Shah University, Wadhwan city, Gujarat, India in 2017. His areas of research interest are Digital Watermarking, Biometrics System, Security, Compressive Sensing, Pattern Recognition and Image Processing. He has published seven books, seven book chapters, and 30 research papers in refereed and  indexed journals and international and national conferences. His international recognition includes his professional memberships and services in refereed organizations, program committees, and as a reviewer for a number of journals.  

Textul de pe ultima copertă

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.

Caracteristici

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