Interactive Image Segmentation Method of Eye Movement Data and EEG Data

Abstract

Interactive image segmentation method plays a vital role in various applications, such as image processing, computer vision and other fields. Traditional interactive image segmentation methods focus on using the way of manually adding interactive information, such as sketching the edges, distinguishing foreground backgrounds with dotted frames, and so on. The information acquisition and decoding technology has become more mature, such as in eye movement and electroencephalogram, and based on which, this paper presents an interactive image segmentation method that uses eye movement trajectory and EEG as interactive information. While observing the image, it collects the data from EEG and eye movement, based on these physiological signals to establish a more natural interactive image object segmentation method. The results show that the method of brain-computer interaction based image segmentation has advantages in the following aspects: first, it is hand-free, and can be applied to special occasions; second, there will be higher efficiency and better results in multi-target image segmentation. This research provides a new way to establish a new method of image segmentation based on human-computer cooperation.