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Proceedings Paper

Identification of a search object in a digital image
Author(s): Timothy P. Donovan
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Paper Abstract

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.

Paper Details

Date Published: 8 August 2003
PDF: 7 pages
Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); doi: 10.1117/12.487899
Show Author Affiliations
Timothy P. Donovan, Midwestern State Univ. (United States)


Published in SPIE Proceedings Vol. 5108:
Visual Information Processing XII
Zeno J. Geradts; Zia-ur Rahman; Lenny I. Rudin; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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