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A fully automatic method for segmentation of soccer playing fields
This paper proposes a strategy to segment the playing field in soccer images, suitable for integration in many soccer image analysis applications. The combination of a green chromaticity-based analysis and an analysis of the chromatic distortion using full-color information, both at the pixel-level,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879963/ https://www.ncbi.nlm.nih.gov/pubmed/36702910 http://dx.doi.org/10.1038/s41598-023-28658-1 |
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author | Cuevas, Carlos Berjón, Daniel García, Narciso |
author_facet | Cuevas, Carlos Berjón, Daniel García, Narciso |
author_sort | Cuevas, Carlos |
collection | PubMed |
description | This paper proposes a strategy to segment the playing field in soccer images, suitable for integration in many soccer image analysis applications. The combination of a green chromaticity-based analysis and an analysis of the chromatic distortion using full-color information, both at the pixel-level, allows segmenting the green areas of the images. Then, a fully automatic post-processing block at the region-level discards the green areas that do not belong to the playing field. The strategy has been evaluated with hundreds of annotated images from matches in several stadiums with different grass shades and light conditions. The results obtained have been of great quality in all the images, even in those with the most complex lighting conditions (e.g., high contrast between sunlit and shadowed areas). In addition, these results have improved those obtained with leading state-of-the-art playing field segmentation strategies. |
format | Online Article Text |
id | pubmed-9879963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98799632023-01-28 A fully automatic method for segmentation of soccer playing fields Cuevas, Carlos Berjón, Daniel García, Narciso Sci Rep Article This paper proposes a strategy to segment the playing field in soccer images, suitable for integration in many soccer image analysis applications. The combination of a green chromaticity-based analysis and an analysis of the chromatic distortion using full-color information, both at the pixel-level, allows segmenting the green areas of the images. Then, a fully automatic post-processing block at the region-level discards the green areas that do not belong to the playing field. The strategy has been evaluated with hundreds of annotated images from matches in several stadiums with different grass shades and light conditions. The results obtained have been of great quality in all the images, even in those with the most complex lighting conditions (e.g., high contrast between sunlit and shadowed areas). In addition, these results have improved those obtained with leading state-of-the-art playing field segmentation strategies. Nature Publishing Group UK 2023-01-26 /pmc/articles/PMC9879963/ /pubmed/36702910 http://dx.doi.org/10.1038/s41598-023-28658-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cuevas, Carlos Berjón, Daniel García, Narciso A fully automatic method for segmentation of soccer playing fields |
title | A fully automatic method for segmentation of soccer playing fields |
title_full | A fully automatic method for segmentation of soccer playing fields |
title_fullStr | A fully automatic method for segmentation of soccer playing fields |
title_full_unstemmed | A fully automatic method for segmentation of soccer playing fields |
title_short | A fully automatic method for segmentation of soccer playing fields |
title_sort | fully automatic method for segmentation of soccer playing fields |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879963/ https://www.ncbi.nlm.nih.gov/pubmed/36702910 http://dx.doi.org/10.1038/s41598-023-28658-1 |
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