DocumentCode
249048
Title
Ellipses from triangles
Author
Cicconet, M. ; Gunsalus, K. ; Geiger, D. ; Werman, Michael
Author_Institution
Center for Genomics & Syst. Biol., New York Univ., New York, NY, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
3626
Lastpage
3630
Abstract
We present an ellipse finding and fitting algorithm that uses points and tangents, rather than just points, as the basic unit of information. These units are analyzed in a hierarchy: points with tangents are paired into triangles in the first layer and pairs of triangles in the second layer vote for ellipse centers. The remaining parameters are estimated via robust linear algebra: eigen-decomposition and iteratively reweighed least squares. Our method outperforms the state-of-the-art approach in synthetic images and microscopic images of cells.
Keywords
computational geometry; curve fitting; eigenvalues and eigenfunctions; iterative methods; least squares approximations; object detection; parameter estimation; eigen-decomposition; ellipse detection; ellipse finding algorithm; ellipse fitting algorithm; image analysis; iteratively reweighed least squares; parameter estimation; pattern recognition; points-with-tangents; robust linear algebra; Databases; Educational institutions; Equations; Image edge detection; Pattern recognition; Robustness; Transforms; cell counting; ellipse detection; ellipse fitting; image analysis; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025736
Filename
7025736
Link To Document