Wavelet-based Circular Hough Transform and Its Application in Embryo Development Analysis

Marcelo Cicconet, Davi Geiger, Kris Gunsalus

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 669-674. DOI: 10.5220/0004296006690674

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={669-674},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004296006690674},
isbn={978-989-8565-47-1},
}

in EndNote Style

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