An iterative approach to Hough transform without re-voting
This work addresses a domain-specific challenge in medical imaging or anatomy for more precise bone shape analysis, but it appears incremental as it builds on existing Hough transform techniques.
The paper tackles the problem of accurately describing bone profiles in the human skeleton, which are often piecewise curves, by proposing an iterative Hough transform approach without re-voting, resulting in an efficient procedure for modeling these profiles as collections of continuously attached curves.
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.