A vertex-based representation of objects in an image

Novel polygon evolution models are introduced in this paper for capturing polygonal object boundaries in images which have one or more objects that have statistically different distributions on the intensity values. The key idea in our approach is to design evolution equations for vertices of a polygon that integrate both local and global image characteristics. Our method naturally provides an efficient representation of an object through a few number of vertices, which also leads to a significant amount of compression of image content. This methodology can effectively be used in the context of MPEG-7. We also propose usage of the Jensen-Shannon criterion as an information measure between the densities of regions of an image to capture more general statistical characteristics of the data.