Using a Level-Set Model to Generate Artwork from Digital Images

The use of mathematics and computers in the generation of art is an ever growing field. This work concerns the development of an algorithm based on the solution of a partial differential equation that can be used with digital images to generate art-like drawings. This modified model uses a conceptual framework that includes local and global perspectives to determine which aspects of the objects in the image should be included in the drawing. This novel inclusion of both of these perspectives results in drawings with enhanced art-like qualities compared with those utilizing a single perspective.