Image segmentation is one of the most basic tasks in computer vision and remains an initial step of many applications. In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object extraction, guided by user interaction. We provide an overview of the IIS literature by covering more than 150 publications, especially recent works that have not been surveyed before. Moreover, we try to give a comprehensive classification of them according to different viewpoints and present a general and concise comparison of the most recent published works. Furthermore, we survey widely used datasets, evaluation metrics, and available resources in the field of IIS.

图像分割是计算机视觉中最基本的任务之一，并且仍然是许多应用程序的第一步。在本文中，我们专注于交互式图像分割（IIS），通常称为前景背景分离或对象提取，由用户交互指导。我们通过覆盖150多种出版物，尤其是以前没有进行过调查的最新著作，对IIS文献进行了概述。此外，我们尝试根据不同的观点对它们进行全面的分类，并对最新出版的作品进行概括和简要的比较。此外，我们调查了IIS领域中广泛使用的数据集，评估指标和可用资源。