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Authors: Vinciane Lacroix 1 and Sabine Vanhuysse 2

Affiliations: 1 Royal Military Academy, Belgium ; 2 Université Libre de Bruxelles, Belgium

Keyword(s): Circle Detection, Crater Detection, Constrained Gradient, Feature Extraction.

Related Ontology Subjects/Areas/Topics: Applications ; Feature Selection and Extraction ; Object Recognition ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: ”Constrained Gradient for Circle” (CGC) is a new circle detection algorithm based on the gradient of the intensity image. The method relies on two conditions. The “gradient angle compatibility condition” constrains the gradient of a given percentage of the pixels belonging to some digital circles having a radius in the range of radii to detect to point towards the centre of the circle or in the opposite direction. The “curvature compatibility condition” constrains the variation of the gradient angle of the same pixels in a range depending on the radius of the circle. These two conditions are sufficient to detect the core of circular shapes. The best-fitting circle is then identified. The method is applied to artificial and reference images and compared to state-of-the-art methods. It is also applied to water-filled crater detection in Cambodia: these craters that might indicate the presence of Unexploded Ordnance (UXO) dating from the US bombing produce dark circles on satellite panc hromatic images. (More)

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Paper citation in several formats:
Lacroix, V. and Vanhuysse, S. (2015). Crater Detection using CGC - A New Circle Detection Method. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 320-327. DOI: 10.5220/0005222503200327

@conference{icpram15,
author={Vinciane Lacroix. and Sabine Vanhuysse.},
title={Crater Detection using CGC - A New Circle Detection Method},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={320-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005222503200327},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Crater Detection using CGC - A New Circle Detection Method
SN - 978-989-758-076-5
IS - 2184-4313
AU - Lacroix, V.
AU - Vanhuysse, S.
PY - 2015
SP - 320
EP - 327
DO - 10.5220/0005222503200327
PB - SciTePress

- Science and Technology Publications, Lda.
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