PT  - JOURNAL ARTICLE
AU  - Srikanth Vasamsetti
AU  - Viren Sardana
AU  - Prasoon Kumar
AU  - H.K Sardana
TI  - Feature extraction through Wavelet decomposition for automatic detection of landmarks on Cephalogram Images
AID  - 10.1101/125286
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 125286
4099  - http://biorxiv.org/content/early/2017/04/07/125286.short
4100  - http://biorxiv.org/content/early/2017/04/07/125286.full
AB  - Manual cephalogram marking has long way from marking on tracing sheet to availability of commercial software's for cephalometric analysis. With the effort involved in manual marking and time consumption, it becomes imperative for modern science to envisage algorithms which could automatically locate landmarks on the cephalogram images and perform various analysis. In this work, we herby propose a wavelet transform based feature extraction algorithm for detection of landmark on cephalogram images. 15 landmarks were detected on the images using wavelet transform and all landmarks were detected within the acceptable accuracy limits. This algorithm may have a promising approach in detection of further anatomical landmarks automatically and analysis and thus may help orthodontic practioners in better and faster treatment planning.