Color Edge Detection based on Bhattacharyya Distance

Yongsung Cheon, Chulhee Lee

2017

Abstract

In this paper, we propose to apply the multi-dimensional edge detection algorithm developed for hyperspectral images to colour image edge detection. The multi-dimensional edge detection algorithm utilizes the Bhattacharyya distance and considers the statistical difference between two neighbouring blocks. In order to apply the algorithm to colour images, we need to take into account the singularity problem of the covariance matrices. In the algorithm, we first apply the Wiener filter to supress noise and select four block pairs including up-down, left-right, diagonal-left-down and diagonal-right-down. The experimental results show that the colour edge detection method based on the Bhattacharyya distance shows promising results compared to the results obtained by the Sobel and Canny-edge edge detection algorithms.

Paper Citation

in Harvard Style

Cheon Y. and Lee C. (2017). Color Edge Detection based on Bhattacharyya Distance . In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-264-6, pages 368-371. DOI: 10.5220/0006433903680371

in Bibtex Style

@conference{icinco17,
author={Yongsung Cheon and Chulhee Lee},
title={Color Edge Detection based on Bhattacharyya Distance},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2017},
pages={368-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006433903680371},
isbn={978-989-758-264-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Color Edge Detection based on Bhattacharyya Distance
SN - 978-989-758-264-6
AU - Cheon Y.
AU - Lee C.
PY - 2017
SP - 368
EP - 371
DO - 10.5220/0006433903680371