Semi-automatic spline fitting of planar curvilinear profiles in digital images using the Hough transform

作者：

Highlights：

• Spline-based algorithm for the semi-automated recognition of planar curvilinear profiles in digital images.

• Neither a family of predefined curves nor a look-up table of prototypal shapes required as input.

• Robustness with respect to background noise guaranteed.

• Favorable comparison with existing profile extraction algorithms relying on the Hough transform technique.

• Effectiveness tested on real medical images.

摘要

•Spline-based algorithm for the semi-automated recognition of planar curvilinear profiles in digital images.•Neither a family of predefined curves nor a look-up table of prototypal shapes required as input.•Robustness with respect to background noise guaranteed.•Favorable comparison with existing profile extraction algorithms relying on the Hough transform technique.•Effectiveness tested on real medical images.

论文关键词：Hough transform,Profile recognition,Spline fitting,G1-continuity,Cusps

论文评审过程：Author links open overlay panelCostanzaContiaLuciaRomanibDanielaSchenoneb

论文官网地址：https://doi.org/10.1016/j.patcog.2017.09.017