Color channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras. Most prior works in cloud segmentation use threshold based methods on color channels selected in an ad-hoc manner. In this letter, we propose the use of rough sets for color channel selection in visible-light images. Our proposed approach assesses color channels with respect to their contribution for segmentation, and identifies the most effective ones.
@article{arxiv.1611.00931,
title = {Rough Set Based Color Channel Selection},
author = {Soumyabrata Dev and Florian M. Savoy and Yee Hui Lee and Stefan Winkler},
journal= {arXiv preprint arXiv:1611.00931},
year = {2017}
}
Comments
Accepted in IEEE Geoscience and Remote Sensing Letters, 2016