Title :
Edge detection of the medullary canal of the femur: A Bayesian approach
Author_Institution :
CHRU, Dijon cédex, France
Abstract :
To develop a method of automatic hip prothesis design, it is necessary to achieve a detection of the edges of the medullary canal of the femur, from X-ray images. The procedure of the pattern recognition of the medullary canal is described. It uses a statistical detector of change in level in a white noise and a bayesian estimation of a step signal in an autoregressive noise.
Keywords :
Bayesian methods; Hip; Image edge detection; Irrigation; Noise level; Pattern recognition; White noise; X-ray detection; X-ray detectors; X-ray imaging;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
DOI :
10.1109/ICASSP.1982.1171789
