  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.
