Multiscale Detection of Circles, Ellipses and Line Segments, Robust to Noise and Blur
This paper proposes a basic taxonomy of image contours. Our goal is to classify smooth curves into five categories, namely, circles, ellipses, line segments, arcs of circles and arcs of ellipses. These geometrical structures have been chosen as they serve as input of many computer vision tasks. The...
Main Authors: | Onofre Martorell, Antoni Buades, Jose Luis Lisani |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9345684/ |
Similar Items
-
Apollonian Packing of Circles within Ellipses
by: Carlo Santini, et al.
Published: (2023-02-01) -
A Robust Real-Time Ellipse Detection Method for Robot Applications
by: Wenshan He, et al.
Published: (2023-03-01) -
Elementary Treatise on Melted-like Curves Derived from Center Ellipse and Circle
by: Laith Al-ossmi
Published: (2023-01-01) -
Nada’s Curve Towards a new curvature produced by the tangent of a circle and an ellipse: The Nada’s curve
by: Laith H. M. Al-ossmi
Published: (2022-10-01) -
An Anti-Noise Fast Circle Detection Method Using Five-Quadrant Segmentation
by: Yun Ou, et al.
Published: (2023-03-01)