Shape-Aware Topology-preserving Means (SATM) method for shape fusion
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Shape-Aware Topology-preserving Means (SATM) method for shape fusion
Original language description
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.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GA21-20374S" target="_blank" >GA21-20374S: Segmentation and tracking of cells with complex shapes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
1.0
Technical parameters
GitLab code
Economical parameters
No income generated
Owner IČO
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Owner name
Masaryk University