Published in

Proceedings of the 10th International Conference on Computer Vision Theory and Applications

DOI: 10.5220/0005299804910497

Links

Tools

Export citation

Search in Google Scholar

Conics detection method based on pascal's theorem

Proceedings article published in 2015 by Musfequs Salehin, Lihong Zheng, Junbin Gao ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

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. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved.