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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/201704 |
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| _version_ | 1832551119106080768 |
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| author | Jiansheng Liu Hui Liu Shangping Qiao Guangxue Yue |
| author_facet | Jiansheng Liu Hui Liu Shangping Qiao Guangxue Yue |
| author_sort | Jiansheng Liu |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-7050b7faadbc4688ae9d72e6cdee2452 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-7050b7faadbc4688ae9d72e6cdee24522025-02-03T06:04:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/201704201704An Automatic Image Inpainting Algorithm Based on FCMJiansheng Liu0Hui Liu1Shangping Qiao2Guangxue Yue3College of Science, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaGraduate School, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaGraduate School, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaCollege of Mathematics and Information Engineering, Jiaxing University, Jiaxing 314000, ChinaThere 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.http://dx.doi.org/10.1155/2014/201704 |
| spellingShingle | Jiansheng Liu Hui Liu Shangping Qiao Guangxue Yue An Automatic Image Inpainting Algorithm Based on FCM The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2014/201704 |
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