An Automatic Image Inpainting Algorithm Based on FCM

Joint Authors

Liu, Jiansheng
Liu, Hui
Qiao, Shangping
Yue, Guangxue

Source

The Scientific World Journal

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