Edge detection of the medullary canal of the femur: A Bayesian approach

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.