The orientation matching approach to circular object detection

Author

Ceccarelli, Michele ; Petrosino, Alfredo

Author_Institution

Facolta di Sci., Universita del Sannio, Benevento, Italy

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

712

Abstract

The paper reports a correlation-based method for the detection of circular objects which is capable of overcoming well-known problems arising from the use of gradient-based voting schemes. Specifically, the method is: (a) capable of detecting circular objects on the basis of both magnitude and direction of the image gradient; and (b) dealing with three-dimensional spherical objects by considering shadows depending on the direction of light. Experimental results on the accuracy of the method and comparisons with the Hough transform and the Hausdorff matching are reported

Keywords

correlation methods; gradient methods; image matching; object detection; circular object detection; correlation-based method; image analysis; image gradient direction; image gradient magnitude; light direction; orientation matching; shadows; three dimensional spherical objects; Computational efficiency; Detectors; Filtering; Image edge detection; Inspection; Noise shaping; Object detection; Object recognition; Shape control; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958218

Filename

958218