NDLI: Automatic cephalometric landmark detection using Zernike moments and template matching

Content Provider	Springer Nature Link
Author	Kaur, Amandeep Singh, Chandan
Copyright Year	2013
Abstract	Cephalometry is an essential clinical and research tool in orthodontics. It has been used for decades to obtain absolute and relative measures of the craniofacial skeleton. Since manual identification of predefined anatomical landmarks is a very tedious approach, there is a strong need for automated methods. This paper explores the use of Zernike moment-based global features for initial landmark estimation and computing small expectation window for each landmark. Using this expectation window and local template matching based on ring and central projection method, a closer approximation of landmark position is obtained. A smaller search window based on this approximation is used to find the exact location of landmark positions based on template matching using a combination of sum of squared distance and normalized cross-correlation. The system was tested on 18 commonly used landmarks using a dataset of 85 randomly selected cephalograms. A total of 89.5 % of the localization of 18 selected landmarks are within a window of $$\le \!\!\pm 2\text{ mm}$$ . The average mean error for the 18 landmarks is 1.84 mm and average SD of mean error is 1.24.
Starting Page	117
Ending Page	132
Page Count	16
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	9
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2013-03-06
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cephalometry Landmarks Zernike moments Central projections Template matching Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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