Title :
A Fast Automatic Ellipse Detector
Author_Institution :
ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
Abstract :
In 2002, Kim et al described a fast and robust technique for the automatic detection of ellipses from a binary edge image. The current paper introduces some modifications to this algorithm which retain its speed, while increasing its detection performance. The two algorithms are then compared for the application of detecting wheels within images using a data-set of 100 images of cars.
Keywords :
automobiles; computational geometry; edge detection; object detection; wheels; binary edge image; car images; fast automatic ellipse detector; wheels detection; Detectors; Image edge detection; Image segmentation; Merging; Pixel; Tires; Wheels; detection; ellipse;
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8816-2
Electronic_ISBN :
978-0-7695-4271-3
DOI :
10.1109/DICTA.2010.102
