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The Scientific World Journal
Volume 2014 (2014), Article ID 201704, 10 pages
Research Article

An Automatic Image Inpainting Algorithm Based on FCM

1College of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China
2Graduate School, Jiangxi University of Science and Technology, Ganzhou 341000, China
3College of Mathematics and Information Engineering, Jiaxing University, Jiaxing 314000, China

Received 10 October 2013; Accepted 5 December 2013; Published 2 January 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Jiansheng Liu et al. 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.


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.