In this paper, we present Lazy Snapping, an interactive image cutout tool. Lazy Snapping
separates coarse and fine scale processing, making object specification and detailed …

… , here we use the energy function from Lazy Snapping. To minimize the energy function, we
… In Lazy Snapping, to compute , we should cluster the foreground seeds and background …

… Then, for boundary correction, we use the lazy snapping [17] method. The shrunken box
coordinates are used as foreground objects, and the area beyond the original box coordinates …

… Lazy Snapping. In this study, the CXR image was pre-segmented by using Lazy Snapping
to … the shoulder and diaphragm regions based on the outcomes of lazy snapping. Hence, …

… Based on this observation, our Guided Lazy Snapping method overcomes the limitation of
the Lazy Snapping methods (or other alternatives superpixel-based segmentation method) to …

… Using the Lazy Snapping algorithm to complete the infrared image segmentation … in this
paper is higher, and the Lazy Snapping algorithm has obvious advantages in segmentation …

… work takes approximately 5.77 s and lazy snapping procedure takes approximately 0.65 s
per image. Since three networks are used and lazy snapping is performed three times in the …

… Graph Cut, Grab Cut, Lazy Snapping and Our method respectively. … compared with Graph
Cut, Grab Cut and Lazy Snapping. … Graph Cut, Grab Cut and Lazy Snapping either detect a few …

… performance of our collection snapping method with our implementation of lazy snapping [2]…
the stroke interface, and are familiar with the Lazy snapping cutout tool to segment the same …

… We implemented lazy snapping [14] to help users to select … to build the graph for lazy
snapping. Simple linear iterative … However, if we further crop out the bag using lazy snapping, it …