Title :
Ellipse detection using grouping of edgels into line-support regions
Author :
Kawaguchi, Tsuyoshi ; Nagata, Ryo-ichi
Author_Institution :
Dept. of Comput. Sci. & Intelligent Syst., Oita Univ., Japan
Abstract :
In this paper we present a new algorithm to detect ellipses in an intensity image. The algorithm first extracts line-support regions from the original image. Next, candidates for elliptic arcs are selected from these line-support regions. In the proposed algorithm, each ellipse is defined by a triplet of line-support regions. And, using a genetic algorithm, the proposed algorithm searches for triplets of line-support regions that have the highest fitness to the image. By experiments using natural images, we estimate the performance of the proposed algorithm
Keywords :
edge detection; feature extraction; genetic algorithms; edgels; ellipse detection; elliptic arcs; genetic algorithm; grouping; intensity image; line-support regions; natural image; performance; Computer science; Computer vision; Extremities; Genetic algorithms; Image edge detection; Intelligent systems; Partitioning algorithms; Pixel;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.727130