Title :
Finding the Smallest Ellipse Containing a Point Set based on Genetic Algorithms
Author :
Li, Shixiang ; Fan, Hong ; Wang, Yuli
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan
Abstract :
Finding one of the smallest non-standard ellipse containing a given point set, is very useful in image and picture labeling. The paper presents an approach to seek the ellipse. The paper was not going to seek the equation of the ellipse, it solved the 5 elliptical parameters (the long axis a, the short axis b, the elliptical center and the rotation k) for determining the ellipse, instead. In order to reduce the problem complexity, the search of non-standard ellipse was turned into the standard ellipse´s search through spatial coordinate transformation. And the genetic algorithms are adopted to optimize the ultimate aim to solve the smallest non-standard ellipse. The experiment results show that the approach is effective.
Keywords :
computational complexity; genetic algorithms; geometry; set theory; genetic algorithms; point set; problem complexity; smallest non standard ellipse; spatial coordinate transformation; Application software; Computer graphics; Equations; Genetic algorithms; Genetic engineering; Geology; Geoscience and remote sensing; Labeling; Laboratories; genetic algorithms; point set; smallest ellipse;
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
DOI :
10.1109/KAMW.2008.4810584