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Proceedings Paper

Object recognition in a digital image
Author(s): Timothy P. Donovan
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Paper Abstract

The goal of image processing is generally to identify objects and their relationships in a digital image. The first step in this process is normally the identification of the edges in the digital image. There are many different ways to do this and they will be discussed briefly in the background and literature section. This paper assumes that a given object is presented and the software program is asked to determine if that particular object is present in a given image. The final result would consist of informing the user that the object was represented in the image and computing the pixel position of the search object in the given image. Of course if the object is not found, the user should be given that information. The proposed algorithm uses cubic Bezier curves to represent both the search object and the edges identified in the image. The advantages of the Bezier curve approach are discussed.

Paper Details

Date Published: 30 July 2002
PDF: 8 pages
Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); doi: 10.1117/12.477577
Show Author Affiliations
Timothy P. Donovan, Midwestern State Univ. (United States)

Published in SPIE Proceedings Vol. 4736:
Visual Information Processing XI
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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