RepSnapping: Efficient Image Cutout for Repeated Scene Elements

Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements...

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Bibliographic Details
Published in:Computer graphics forum Vol. 30; no. 7; pp. 2059 - 2066
Main Authors: Huang, Hua, Zhang, Lei, Zhang, Hong-Chao
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.09.2011
Subjects:
Computer graphics
Graphs
I.4.6 [Computer Graphics]: Image processing and computer vision-Segmentation
Image processing systems
Image segmentation
Interactive
Optimization
Segmentation
Similarity
State of the art
Studies
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using max‐flow/min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state‐of‐the‐art interactive image segmentation and repetition detection methods.
Bibliography:ark:/67375/WNG-919RQ5Z8-P
istex:2C0FC2D6CE48F4136760745BAA8AFC567752092D
ArticleID:CGF2044
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ObjectType-Article-2
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.02044.x