Authors:
Musfequs Salehin
;
Lihong Zheng
and
Junbin Gao
Affiliation:
Charles Sturt University, Australia
Keyword(s):
Conics Detection, Pascal’s Theorem, Ellipse Detection, Parabola Detection.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Segmentation and Grouping
;
Shape Representation and Matching
Abstract:
This paper presents a novel conics detection method that can be applied for real images. The existing
methods usually detect either circular or elliptical, or parabolic shape at one operation. Most of them need
the information about center, radius, major axis, minor axis, vertex, and more. In our proposed method, the
tangents on curve segments, conic parts, and conics are constructed using Pascal’s theorem. The conic parts
can be used to detect different types of conic sections from an image. The performance of the proposed
method has been tested on the sample images selected from Caltech-256 database and various types of conic
sections can be identified from the real images compared to other method.