Segmentation of Terahertz images using 3D graph-cuts

In this paper, we describe a novel technique for the extraction of object shapes from Terahertz images using a 3D graph-cut segmentation scheme. This approach to segmentation includes images in temporal domain by creating nodes and edges between consecutive images in order to obtain improved segmentation results and compensate for the high levels of noise in the Terahertz images. The foreground and background pixels are defined to provide hard constraints for segmentation. Graph cuts are thus used to extract the object shapes in absence of any other direct mean of object identification.