Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/98839
Title: | Robust interactive image segmentation using convex active contours | Authors: | Nguyen, Thi Nhat Anh Cai, Jianfei Zhang, Juyong Zheng, Jianmin |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2012 | Source: | Nguyen, 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. | Series/Report no.: | IEEE transactions on image processing | Abstract: | The 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. | URI: | https://hdl.handle.net/10356/98839 http://hdl.handle.net/10220/13481 |
ISSN: | 1057-7149 | DOI: | 10.1109/TIP.2012.2191566 | Schools: | School of Computer Engineering | Rights: | © 2012 IEEE | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Journal Articles |
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