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An Automatic Image Inpainting Algorithm Based on FCM
There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910136/ https://www.ncbi.nlm.nih.gov/pubmed/24516358 http://dx.doi.org/10.1155/2014/201704 |
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author | Liu, Jiansheng Liu, Hui Qiao, Shangping Yue, Guangxue |
author_facet | Liu, Jiansheng Liu, Hui Qiao, Shangping Yue, Guangxue |
author_sort | Liu, Jiansheng |
collection | PubMed |
description | There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area by fuzzy C-mean (FCM) algorithm. FCM algorithm classifies the image pixels into a number of categories according to the similarity principle, making the similar pixels clustering into the same category as possible. According to the provided gray value of the pixels to be inpainted, we calculate the category whose distance is the nearest to the inpainting area and this category is to be inpainting area, and then the inpainting area is restored by the TV model to realize image automatic inpainting. |
format | Online Article Text |
id | pubmed-3910136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39101362014-02-10 An Automatic Image Inpainting Algorithm Based on FCM Liu, Jiansheng Liu, Hui Qiao, Shangping Yue, Guangxue ScientificWorldJournal Research Article There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area by fuzzy C-mean (FCM) algorithm. FCM algorithm classifies the image pixels into a number of categories according to the similarity principle, making the similar pixels clustering into the same category as possible. According to the provided gray value of the pixels to be inpainted, we calculate the category whose distance is the nearest to the inpainting area and this category is to be inpainting area, and then the inpainting area is restored by the TV model to realize image automatic inpainting. Hindawi Publishing Corporation 2014-01-02 /pmc/articles/PMC3910136/ /pubmed/24516358 http://dx.doi.org/10.1155/2014/201704 Text en Copyright © 2014 Jiansheng Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Jiansheng Liu, Hui Qiao, Shangping Yue, Guangxue An Automatic Image Inpainting Algorithm Based on FCM |
title | An Automatic Image Inpainting Algorithm Based on FCM |
title_full | An Automatic Image Inpainting Algorithm Based on FCM |
title_fullStr | An Automatic Image Inpainting Algorithm Based on FCM |
title_full_unstemmed | An Automatic Image Inpainting Algorithm Based on FCM |
title_short | An Automatic Image Inpainting Algorithm Based on FCM |
title_sort | automatic image inpainting algorithm based on fcm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910136/ https://www.ncbi.nlm.nih.gov/pubmed/24516358 http://dx.doi.org/10.1155/2014/201704 |
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