Stochastic heuristic search algorithm for suppressing noise in edge extraction

We propose a stochastic heuristic search algorithm that can suppress the noise, thus linking edge points effectively to form a continuous edge. We define the stochastic heuristic search and discuss the selection of points. One starting point, one end point and many extension points form a candidate edge trajectory. Many randomly accumulated candidate edges reinforce each other and form an extracted edge that suppresses the noise efficiently. The experimental image is Lena with Gaussian noise added by us (Fig.2). The edges extracted from this experimental image, demonstrate that the stochastic heuristic search algorithm can extract continuous and distinct edges.