IEEE Trans Image Process. 2012 Aug;21(8):3734-43. doi: 10.1109/TIP.2012.2191566. Epub 2012 Mar 21.
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.
最先进的交互式图像分割算法对用户输入敏感，并且通常无法在少量用户交互的情况下生成准确的边界。它们经常需要繁琐的用户编辑来细化分割边界。在本文中，我们提出了一种基于最近开发的连续域凸主动轮廓模型的鲁棒且准确的交互式方法。所提出的方法表现出有效交互式图像分割算法的许多理想特性，包括对用户输入和不同初始化的鲁棒性、生成平滑准确边界轮廓的能力以及处理拓扑变化的能力。在基准数据集上的实验结果表明，所提出的工具非常有效，优于最先进的交互式图像分割算法。
