Approximation of Image Shape by Half-Elliptical Arc Segments & Representation by Speech Sound Pattern for Visually Impaired Person

This paper describes a new approach by which a blind person can visualize the approximate shape of the image by hearing sound. Nowadays a lot of image shape approximation and representation algorithms are available, but these algorithms represent image contour as a sequence of straight line segments. This work proposed a digital image shape approximation method where a shape boundary is divided & approximated to a few numbers of half-elliptical arc segments. These half elliptical arc segments are then represented by three-phoneme speech sound pattern so that on hearing this sound a blind person can get information about the shape of an object.