We present an approach for user assisted segmentation of objects of interest, as either a closed object or an open curve. The proposed method combines point based soft constraint on object boundary and stroke based regional constraint. The user points act as attraction points and are treated as soft constraints, rather than hard constraints that the segmented boundary has to pass through the user specified control points. User can also use strokes to specify region of interest. The probabilities of region of interest for each pixel are then calculated and their discontinuity is used to indicate object boundary. This combined approach is formulated as an energy minimization problem on a multilayered graph and is solved using a shortest path search algorithm. We show that this combined approach allows efficient and effective interactive segmentation, which can be used in open or closed curves to segment a variety of images in different ways, and the method is compared against several other techniques, qualitatively.