Abstract—Interactive segmentation aims to separate an object
of interest from the rest of an image. This problem in computer
vision is known to be hard, and very few fully automatic vision
systems exist which have been shown to be accurate and robust
under all sorts of challenging inputs. Most of the previous works
require users to trace the whole boundary of the object. When the
object has a complicated boundary, or the object is in a highly-
textured region, users have to put great effort into iteratively
correcting the selection. To solve this problem, most researchers
rely on computing cost function for the purpose of control on
the boundary of the region. Minimizing cost function yields a
large, sparse system of linear equations. This paper presents a
new interactive algorithm by introducing new equations for image
foreground background separation. In addition we propose Edge-
stopping function, a powerful tool for automatically controlling
the update of seed colors with the boundaries of the image.
Results show that the new method works effectively and provides
an alternative computational algorithm for building interactive
image editing tools.