Nonlinear diffusion filter and triangle method used for noise removal from polygonal shapes

We propose a two step process for removing noise from polygonal shapes. In the first step we apply a nonlinear diffusion filter to enhance relevant polygonal vertices and to remove those vertices that are identified as noise. In the second step we remove the vertices that form the smallest area triangles. In experimental tests of this procedure we demonstrate successful removal of noise and excellent preservation of shape thanks to appropriate emphasis of dominant vertices.