Title :
Randomized Hough transform: better ellipse detection
Author :
McLaughlin, Robert A.
Author_Institution :
Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia
Abstract :
Standard methods of ellipse detection are slow and memory intensive. We present a new algorithm using the randomized Hough transform. The algorithm is demonstrated on both synthetic images and simple real-world images. It is found to be fast, memory efficient and accurate with images containing multiple ellipses and noise
Keywords :
Hough transforms; edge detection; randomised algorithms; ellipse detection; memory efficient algorithm; multiple ellipses; randomized Hough transform; real-world images; synthetic images; Australia; Breast cancer; Cancer detection; Histograms; Image recognition; Information processing; Intelligent systems; Pixel; Random access memory; Transforms;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608850
