Parametric Curve Segment Extraction by Support Regions

Fuente: arXiv
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Autore principale: Ünsalan, Cem
Natura: Preprint
Pubblicazione: 2024
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author Ünsalan, Cem
author_facet Ünsalan, Cem
contents We introduce a method to extract curve segments in parametric form from the image directly using the Laplacian of Gaussian (LoG) filter response. Our segmentation gives convex and concave curves. To do so, we form curve support regions by grouping pixels of the thresholded filter response. Then, we model each support region boundary by Fourier series and extract the corresponding parametric curve segment.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04265
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parametric Curve Segment Extraction by Support Regions
Ünsalan, Cem
Computer Vision and Pattern Recognition
We introduce a method to extract curve segments in parametric form from the image directly using the Laplacian of Gaussian (LoG) filter response. Our segmentation gives convex and concave curves. To do so, we form curve support regions by grouping pixels of the thresholded filter response. Then, we model each support region boundary by Fourier series and extract the corresponding parametric curve segment.
title Parametric Curve Segment Extraction by Support Regions
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2407.04265