“…There exists substantial prior work in segmentation based tracing, with frameworks ranging from shortest path based [2], watersheds [3], [4], random walkers [5], active contours based snakes [6], geodesic active contours, vector flows [7], active contours without edges [8], and discrete valued Markov Random Fields (MRFs) inferred using graph cuts [9], [10]. The aim of this paper is to present a method that is capable of wrapping around a non-parametric segmentation technique, thereby achieving two objectives: Firstly, the proposed technique is capable of embedding high level priors into the tracing algorithm using free parameters of the base segmenter.…”