DocumentCode :
2042407
Title :
A Phase-Based Image Registration Algorithm for Dental Radiograph Identification
Author :
Nikaido, Akira ; Ito, Koichi ; Aoki, Takafumi ; Kosuge, Eiko ; Kawamata, Ryota
Author_Institution :
Tohoku Univ., Sendai
Volume :
6
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Dental radiographs have been used for the accurate assessment and treatment of dental diseases. For an accurate diagnosis, the complete geometric registration between radiographs is required. The perspective projection between two radiographs may be observed, even if they are taken from the same oral regions of the subject. This paper presents an efficient dental radiograph registration algorithm using Phase-Only Correlation (POC) function. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes possible to achieve highly robust image registration and recognition. Experimental evaluation using a dental radiograph database indicates that the proposed algorithm exhibits efficient recognition performance even for distorted radiographs.
Keywords :
correlation methods; dentistry; diagnostic radiography; discrete Fourier transforms; diseases; image registration; medical image processing; patient treatment; 2D discrete Fourier transforms; complete geometric registration; dental disease treatment; dental radiograph identification; phase-based image registration algorithm; phase-only correlation function; Dentistry; Diagnostic radiography; Discrete Fourier transforms; Image databases; Image matching; Image registration; Optical imaging; Parameter estimation; Teeth; X-ray imaging; biomedical image processing; dental radiograph; image registration; medical diagnosis; phase-only correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379563
Filename :
4379563
Link To Document :
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