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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...

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Detalles Bibliográficos
Autores principales: Liu, Jiansheng, Liu, Hui, Qiao, Shangping, Yue, Guangxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
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.
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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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