Many bone shapes in the human skeleton are characterized by profiles that can be associated to equations of algebraic curves. Fixing the parameters in the curve equation, by means of a classical pattern recognition procedure like the Hough transform technique, it is then possible to associate an equation to a specific bone profile. However, most skeleton districts are more accurately described by piecewise defined curves. This paper utilizes an iterative approach of the Hough transform without re-voting, to provide an efficient procedure for describing the profile of a bone in the human skeleton as a collection of different but continuously attached curves.
@article{arxiv.1407.3969,
title = {An iterative approach to Hough transform without re-voting},
author = {Giorgio Ricca and Mauro C. Beltrametti and Anna Maria Massone},
journal= {arXiv preprint arXiv:1407.3969},
year = {2014}
}