Shape-Aware Topology-preserving Means (SATM) method for shape fusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00142437" target="_blank" >RIV/00216224:14330/25:00142437 - isvavai.cz</a>

Výsledek na webu

<a href="https://gitlab.fi.muni.cz/xmelnik/satm" target="_blank" >https://gitlab.fi.muni.cz/xmelnik/satm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-025-94977-0" target="_blank" >10.1038/s41598-025-94977-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Shape-Aware Topology-preserving Means (SATM) method for shape fusion

Popis výsledku v původním jazyce

The preservation of morphological features, such as protrusions and concavities, and of the topology of input shapes is important when establishing reference data for benchmarking segmentation algorithms or when constructing a mean or median shape. We present a contourwise topology-preserving fusion method, called shape-aware topology-preserving means (SATM), for merging complex simply connected shapes. The method is based on key point matching and piecewise contour averaging. Unlike existing pixelwise and contourwise fusion methods, SATM preserves topology and does not smooth morphological features. We also present a detailed comparison of SATM with state-of-the-art fusion techniques for the purpose of benchmarking and median shape construction. Our experiments show that SATM outperforms these techniques in terms of shape-related measures that reflect shape complexity, manifesting itself as a reliable method for both establishing a consensus of segmentation annotations and for computing mean shapes.

Název v anglickém jazyce

Shape-Aware Topology-preserving Means (SATM) method for shape fusion

Popis výsledku anglicky

The preservation of morphological features, such as protrusions and concavities, and of the topology of input shapes is important when establishing reference data for benchmarking segmentation algorithms or when constructing a mean or median shape. We present a contourwise topology-preserving fusion method, called shape-aware topology-preserving means (SATM), for merging complex simply connected shapes. The method is based on key point matching and piecewise contour averaging. Unlike existing pixelwise and contourwise fusion methods, SATM preserves topology and does not smooth morphological features. We also present a detailed comparison of SATM with state-of-the-art fusion techniques for the purpose of benchmarking and median shape construction. Our experiments show that SATM outperforms these techniques in terms of shape-related measures that reflect shape complexity, manifesting itself as a reliable method for both establishing a consensus of segmentation annotations and for computing mean shapes.

Druh

R - Software

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/GA21-20374S" target="_blank" >GA21-20374S: Segmentace a sledování buněk se složitým tvarem</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

1.0

Technické parametry

GitLab code

Ekonomické parametry

No income generated

IČO vlastníka výsledku

—

Název vlastníka

Masaryk University