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Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm
Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation. In order to improve the speed and performance of the segmentation algorithm of medical images, we...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788486/ https://www.ncbi.nlm.nih.gov/pubmed/35076637 http://dx.doi.org/10.3390/tomography8010006 |
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author | Li, Bing Wu, Shaoyong Zhang, Siqin Liu, Xia Li, Guangqing |
author_facet | Li, Bing Wu, Shaoyong Zhang, Siqin Liu, Xia Li, Guangqing |
author_sort | Li, Bing |
collection | PubMed |
description | Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation. In order to improve the speed and performance of the segmentation algorithm of medical images, we propose a medical image segmentation algorithm based on simple non-iterative clustering (SNIC). Firstly, obtain the feature map of the image by extracting the texture information of it with feature extraction algorithm; Secondly, reduce the image to a quarter of the original image size by downscaling; Then, the SNIC super-pixel algorithm with texture information and adaptive parameters which used to segment the downscaling image to obtain the superpixel mark map; Finally, restore the superpixel labeled image to the original size through the idea of the nearest neighbor algorithm. Experimental results show that the algorithm uses an improved superpixel segmentation method on downscaling images, which can increase the segmentation speed when segmenting medical images, while ensuring excellent segmentation accuracy. |
format | Online Article Text |
id | pubmed-8788486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87884862022-01-26 Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm Li, Bing Wu, Shaoyong Zhang, Siqin Liu, Xia Li, Guangqing Tomography Article Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation. In order to improve the speed and performance of the segmentation algorithm of medical images, we propose a medical image segmentation algorithm based on simple non-iterative clustering (SNIC). Firstly, obtain the feature map of the image by extracting the texture information of it with feature extraction algorithm; Secondly, reduce the image to a quarter of the original image size by downscaling; Then, the SNIC super-pixel algorithm with texture information and adaptive parameters which used to segment the downscaling image to obtain the superpixel mark map; Finally, restore the superpixel labeled image to the original size through the idea of the nearest neighbor algorithm. Experimental results show that the algorithm uses an improved superpixel segmentation method on downscaling images, which can increase the segmentation speed when segmenting medical images, while ensuring excellent segmentation accuracy. MDPI 2022-01-03 /pmc/articles/PMC8788486/ /pubmed/35076637 http://dx.doi.org/10.3390/tomography8010006 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Bing Wu, Shaoyong Zhang, Siqin Liu, Xia Li, Guangqing Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title | Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title_full | Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title_fullStr | Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title_full_unstemmed | Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title_short | Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm |
title_sort | fast segmentation of vertebrae ct image based on the snic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788486/ https://www.ncbi.nlm.nih.gov/pubmed/35076637 http://dx.doi.org/10.3390/tomography8010006 |
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