Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98839
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dc.contributor.authorNguyen, Thi Nhat Anhen
dc.contributor.authorCai, Jianfeien
dc.contributor.authorZhang, Juyongen
dc.contributor.authorZheng, Jianminen
dc.date.accessioned2013-09-16T06:53:12Zen
dc.date.accessioned2019-12-06T20:00:10Z-
dc.date.available2013-09-16T06:53:12Zen
dc.date.available2019-12-06T20:00:10Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationNguyen, T. N. A., Cai, J., Zhang, J., & Zheng, J. (2012). Robust Interactive Image Segmentation Using Convex Active Contours. IEEE Transactions on Image Processing, 21(8), 3734-3743.en
dc.identifier.issn1057-7149en
dc.identifier.urihttps://hdl.handle.net/10356/98839-
dc.description.abstractThe state-of-the-art interactive image segmentation algorithms are sensitive to the user inputs and often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. In this paper, we propose a robust and accurate interactive method based on the recently developed continuous-domain convex active contour model. The proposed method exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes. Experimental results on a benchmark data set show that the proposed tool is highly effective and outperforms the state-of-the-art interactive image segmentation algorithms.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE transactions on image processingen
dc.rights© 2012 IEEEen
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.titleRobust interactive image segmentation using convex active contoursen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1109/TIP.2012.2191566en
item.fulltextNo Fulltext-
item.grantfulltextnone-
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