Robust interactive image segmentation using convex active contours

Thi Nhat Anh Nguyen, Jianfei Cai, Juyong Zhang, Jianmin Zheng

Research output: Contribution to journalArticleResearchpeer-review

85 Citations (Scopus)

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.

Original languageEnglish
Article number6172570
Pages (from-to)3734-3743
Number of pages10
JournalIEEE Transactions on Image Processing
Volume21
Issue number8
DOIs
Publication statusPublished - Aug 2012
Externally publishedYes

Keywords

  • Convex active contour
  • digital image editing
  • interactive image segmentation

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