An Automatic Image Inpainting Algorithm Based on FCM
Joint Authors
Liu, Jiansheng
Liu, Hui
Qiao, Shangping
Yue, Guangxue
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Liu, Jiansheng& Liu, Hui& Qiao, Shangping& Yue, Guangxue. 2014. An Automatic Image Inpainting Algorithm Based on FCM. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048708
Modern Language Association (MLA)
Liu, Jiansheng…[et al.]. An Automatic Image Inpainting Algorithm Based on FCM. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1048708
American Medical Association (AMA)
Liu, Jiansheng& Liu, Hui& Qiao, Shangping& Yue, Guangxue. An Automatic Image Inpainting Algorithm Based on FCM. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048708
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048708