Plantation Rows Identification by Means of Image Tiling and Hough Transform

Guilherme Afonso Soares, Daniel Abdala, Mauricio Escarpinati

2018

Abstract

In this work we address the problem of plantation rows identification on UAV imaged coffee crop fields. A fair number of approaches address the problem using the Hough Transform. However it assumes the plantation lines are straight which is hardly the case in Aerial images. We propose a tiling scheme which allows one to acceptably approximate the rows inside each tile to straight lines making it feasible to apply the Hough Transform. Experimental results compared to ground truths seems to indicate the proposed approach successfully approximate real plantation rows.

Paper Citation

in Harvard Style

Soares G., Abdala D. and Escarpinati M. (2018). Plantation Rows Identification by Means of Image Tiling and Hough Transform. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 453-459. DOI: 10.5220/0006657704530459

in Bibtex Style

@conference{visapp18,
author={Guilherme Afonso Soares and Daniel Abdala and Mauricio Escarpinati},
title={Plantation Rows Identification by Means of Image Tiling and Hough Transform},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={453-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006657704530459},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Plantation Rows Identification by Means of Image Tiling and Hough Transform
SN - 978-989-758-290-5
AU - Soares G.
AU - Abdala D.
AU - Escarpinati M.
PY - 2018
SP - 453
EP - 459
DO - 10.5220/0006657704530459
PB - SciTePress