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Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation
Xin Liu1; Shu-Juan Peng1; Yiu-ming Cheung2,3; Yuan Yan Tang4; Ji-Xiang Du1
2014-12-01
Source PublicationIET Image Processing
ISSN1751-9659
Volume8Issue:12Pages:824-832
Abstract

In this study, we present an efficient active contour with a joint and region-scalable distribution metric for interactive natural image segmentation. First, the authors project a red-green-blue image into the CIELab colour space and employ independent component analysis to select two subspace channels. Then, by initialising the evolving curve interactively in terms of a polygonal curve or multiple polygonal curves, they compute a joint probability distribution associated with a region-scalable mask to model the regional statistics and propose a simple but effective distribution metric to regularise the active contours. Subsequently, they convert the resultant level set function into binary pattern and find the larger 8-connected regions as the desired objects. Finally, the selected regions are smoothed with a circular averaging filter such that the final segmentation results can be obtained. The proposed approach not only can deal with the complex appearance and intensity in homogeneity, but also has the advantages of fast convergence and easy implementation. The experiments have shown the precise and reliable segmentation results in comparison with the state-of-the-art competing approaches.

KeywordImage Segmentation Image Colour Analysis Filtering Theory Probability Independent Component Analysis
DOI10.1049/iet-ipr.2013.0594
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000346256900015
PublisherINST ENGINEERING TECHNOLOGY-IET, MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.College of Computer Science and Technology, Huaqiao University, Xiamen 361021, People's Republic of China;
2.Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, People's Republic of China;
3.United International College, Beijing Normal University-Hong Kong Baptist University, Hong Kong SAR, People's Republic of China;
4.Department of Computer and Information Science, University of Macau, Macau SAR, People's Republic of China
Recommended Citation
GB/T 7714
Xin Liu,Shu-Juan Peng,Yiu-ming Cheung,et al. Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation[J]. IET Image Processing,2014,8(12):824-832.
APA Xin Liu,Shu-Juan Peng,Yiu-ming Cheung,Yuan Yan Tang,&Ji-Xiang Du.(2014).Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation.IET Image Processing,8(12),824-832.
MLA Xin Liu,et al."Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation".IET Image Processing 8.12(2014):824-832.
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