A model for automatically tracing object boundaries
Fang Yang, Laurent David Cohen, Alfred Marcel Bruckstein · 2017
In this paper, we propose a novel algorithm for tracing object boundaries automatically based on a model called “point flow” in image induced vector fields. An ordinary differential equation describes the movement of points under the action of an image-induced vector field and generates induced trajectories. The trajectories of the flows allow to find and integrate edges and determine object boundaries. We tested our method on real image dataset. Compared with the other classical edge detection and integration models, our point flow method is better at providing precise and continuous curves. The experimental results clearly exhibit the robustness and effectiveness of the proposed method.