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Authors: Marcelo Cicconet ; Davi Geiger and Kris Gunsalus

Affiliation: New York University, United States

Keyword(s): Machine Vision, Circular Hough Transform, Biological Cells.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications

Abstract: Detecting object shapes from images remains a challenging problem in computer vision, especially in cases where some a priori knowledge of the shape of the objects of interest exists (such as circle-like shapes) and/or multiple object shapes overlap. This problem is important in the field of biology, particularly in the area of early-embryo development, where the dynamics is given by a set of cells (nearly-circular shapes) that overlap and eventually divide. We propose an approach to this problem that relies mainly on a variation of the circular Hough Transform where votes are weighted by wavelet kernels, and a fine-tuning stage based on dynamic programming. The wavelet-based circular Hough transform can be seen as a geometric-driven pulling mechanism in a set of convolved images, thus having important connections with well-stablished machine learning methods such as convolution networks.

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Paper citation in several formats:
Cicconet, M.; Geiger, D. and Gunsalus, K. (2013). Wavelet-based Circular Hough Transform and Its Application in Embryo Development Analysis. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 669-674. DOI: 10.5220/0004296006690674

@conference{visapp13,
author={Marcelo Cicconet. and Davi Geiger. and Kris Gunsalus.},
title={Wavelet-based Circular Hough Transform and Its Application in Embryo Development Analysis},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={669-674},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004296006690674},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Wavelet-based Circular Hough Transform and Its Application in Embryo Development Analysis
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Cicconet, M.
AU - Geiger, D.
AU - Gunsalus, K.
PY - 2013
SP - 669
EP - 674
DO - 10.5220/0004296006690674
PB - SciTePress

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