Title :
The orientation matching approach to circular object detection
Author :
Ceccarelli, Michele ; Petrosino, Alfredo
Author_Institution :
Facolta di Sci., Universita del Sannio, Benevento, Italy
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958218
