An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method

Ghulam Shokouh, Philippe Montesinos, Baptiste Magnier

2023

Abstract

An asymmetric-anisotropic causal diffusion filtering-based curvature operator is proposed in this communication. The new corner operator produces optimal results on small structures, such as, corners at pixel level and also sub-pixel level precision. Meanwhile, this method is robust against noises due to its asymmetric diffusion scheme. Experiments have been performed on a set of both synthetic and real images. The obtained results are promising and better without any ambiguity as compared with the two referenced corner operators, namely Kitchen Rosenfeld and Harris corner detector.

Paper Citation

in Harvard Style

Shokouh G., Montesinos P. and Magnier B. (2023). An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-642-2, SciTePress, pages 92-99. DOI: 10.5220/0011855600003497

in Bibtex Style

@conference{improve23,
author={Ghulam Shokouh and Philippe Montesinos and Baptiste Magnier},
title={An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2023},
pages={92-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011855600003497},
isbn={978-989-758-642-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method
SN - 978-989-758-642-2
AU - Shokouh G.
AU - Montesinos P.
AU - Magnier B.
PY - 2023
SP - 92
EP - 99
DO - 10.5220/0011855600003497
PB - SciTePress