DocumentCode
1533493
Title
A method to detect and characterize ellipses using the Hough transform
Author
Bennett, Nick ; Burridge, Robert ; Saito, Naoki
Author_Institution
Schlumberger-Doll Res., Ridgefield, CT, USA
Volume
21
Issue
7
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
652
Lastpage
657
Abstract
We describe a new technique for detecting and characterizing ellipsoidal shapes automatically from any type of image. This technique is a single pass algorithm which can extract any group of ellipse parameters or characteristics which can be computed from those parameters without having to detect all five parameters for each ellipsoidal shape. Moreover, the method can explicitly incorporate any a priori knowledge the user may have concerning ellipse parameters. The method is based on techniques from projective geometry and on the Hough transform. This technique can significantly reduce interpretation and computation time by automatically extracting only those features or geometric parameters of interest from images and making exact use of a priori information
Keywords
Hough transforms; computational geometry; computer vision; edge detection; feature extraction; object recognition; parameter estimation; Hough transform; computer vision; edge detection; ellipses; feature extraction; parameter estimation; projective geometry; shape recognition; Computational geometry; Computational modeling; Computer vision; Data mining; Equations; Feature extraction; Image edge detection; Image sampling; Parameter estimation; Shape;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.777377
Filename
777377
Link To Document