title: An automatic image inpainting algorithm based on FCM.
abstract: 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.
authors: College of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China.
authors: Jiansheng
authors: J
authors: Liu
authors: Graduate School, Jiangxi University of Science and Technology, Ganzhou 341000, China.
authors: Hui
authors: H
authors: Liu
authors: Graduate School, Jiangxi University of Science and Technology, Ganzhou 341000, China.
authors: Shangping
authors: S
authors: Qiao
authors: College of Mathematics and Information Engineering, Jiaxing University, Jiaxing 314000, China.
authors: Guangxue
authors: G
authors: Yue
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*