Cosine-Pruned Medial Axis: A New Method for Isometric Equivariant and Noise-Free Medial Axis Extraction
نویسندگان
چکیده
We present the CPMA, a new method for medial axis pruning with noise robustness and equivariance to isometric transformations. The CPMA leverages discrete cosine transform create smooth versions of shape $\Omega $ . use shapes compute score function $\mathcal {F}_{\Omega }$ that filters out spurious branches from original Our generalizes $n$ -dimensional given properties Discrete Cosine Transform. extensively compare state-of-the-art methods highlight CPMA’s equivariance. conducted experiments using two 2D datasets — Kimia216 Animal2000 one 3D dataset Groningen benchmark. found our approach achieves competitive results yields stable axes even in scenarios significant contour perturbations.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3072933