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Updated: May 11, 2026

Precision Measurements and Parametric Models of Vertebral Endplates
Published on: September 17, 2019
Area-Based Medial Axis of Planar Curves
Marc Niethammer1, Santiago Betelu, Guillermo Sapiro
1Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA.
A novel affine invariant medial axis for planar curves is defined using area-based distances. This robust method simplifies computation and aids in detecting affine skew symmetry in images.
Area of Science:
- Computer Vision
- Computational Geometry
- Image Analysis
Background:
- Medial axis computation is crucial for shape analysis.
- Existing methods often lack affine invariance or robustness.
- Need for a stable medial axis definition under affine transformations.
Purpose of the Study:
- Introduce a new definition of affine invariant medial axis for planar closed curves.
- Develop a robust and computationally simple method for medial axis calculation.
- Apply the medial axis for detecting affine skew symmetry.
Main Methods:
- Defined medial axis points as equidistant from curve points via minimum area between curve and chords.
- Utilized affine erosion and shock positions for a dynamical interpretation.
- Proposed a straightforward algorithm for medial axis computation.
Main Results:
- Introduced a robust affine invariant medial axis definition.
- Demonstrated a simple and effective computation method.
- Successfully applied the medial axis to detect affine skew symmetry in real images.
Conclusions:
- The proposed affine invariant medial axis is robust and computationally efficient.
- This method offers a new tool for shape analysis and feature detection.
- The technique shows promise for applications in computer vision and image processing.
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