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Integration of the saliency-based seed extraction and random walks for image segmentation
Qin C.1; Zhang G.1; Zhou Y.4; Tao W.2,3,5,6; Cao Z.2,3
2014
Source PublicationNeurocomputing
ISSN9252312
Volume129Pages:378
Abstract

In this paper, a novel automatic image segmentation method is proposed. To extract the foreground of the image automatically, we combine the region saliency based on entropy rate superpixel (RSBERS) with the affinity propagation clustering algorithm to get seeds in an unsupervised manner, and use random walks method to obtain the segmentation results. The RSBERS first applies entropy rate superpixel segmentation method to split the image into compact, homogeneous and similar-sized regions, and gets the saliency map by applying saliency estimation methods in each superpixel regions. Then, in each saliency region, we apply the affinity propagation clustering to extract the representative pixels and obtain the seeds. A relabeling strategy is presented to ensure the extracted seeds inside the expected object. Additionally, in order to enhance the effects of segmentation, a new feature descriptor is designed using the covariance matrices of coordinates, color and texture information. Experiments on publicly available data sets demonstrate the excellent segmentation performance of our proposed method. © 2013 Elsevier B.V.

KeywordAutomatic Image Segmentation Random Walks Saliency Estimation Superpixels
DOIhttp://doi.org/10.1016/j.neucom.2013.09.021
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000332132400042
The Source to ArticleScopus
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Cited Times [WOS]:38   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorTao W.
Affiliation1.Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China
2.Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
3.Huazhong Univ Sci & Technol, Natl Key Lab Sci & Technol Multi Spectral Informa, Wuhan 430074, Peoples R China
4.Univ Macau, Dept Comp & Informat Sci, Macau 999078, Peoples R China
5.Hubei Key Lab Intelligent Wireless Commun, Wuhan 430074, Peoples R China
6.Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210008, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Qin C.,Zhang G.,Zhou Y.,et al. Integration of the saliency-based seed extraction and random walks for image segmentation[J]. Neurocomputing,2014,129:378.
APA Qin C.,Zhang G.,Zhou Y.,Tao W.,&Cao Z..(2014).Integration of the saliency-based seed extraction and random walks for image segmentation.Neurocomputing,129,378.
MLA Qin C.,et al."Integration of the saliency-based seed extraction and random walks for image segmentation".Neurocomputing 129(2014):378.
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