Identification of a search object in a digital image
Timothy P. Donovan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
The purpose of this paper is to study the relationship between a bit map digital image and a given object, called the search object. In particular, to signal that it is likely, or not likely, that the search object appears, at least partially, in the image. Edge detection capability is assumed. Edges in the search object and in the digital image are represented as objects, in the object oriented programming sense, as Bezier cubic parameterized curves. The conversion from sequence of pixels to a Bezier polynomial representation is accomplished using least squares approximation techniques. In the event that two edges in the search object are matched with edges in the image, their relative orientation is checked using elementary vector analysis. The functioning of the algorithm is not dependent on scaling, rotation, translation, or shading of the image.