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Rough-Set-Based Color Channel Selection

delete2017-01-01
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OA
AI
S
Soumyabrata Dev
F
Florian M. Savoy
Y
Yee Hui Lee
S
Stefan Winkler *
DOI:10.1109/LGRS.2016.2625303delete
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Abstract

Abstract

En 中文
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.
Keywords:
Cloud analysis
color channel
rough set
whole sky imagers (WSIs)
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Journal

IEEE Geoscience and Remote Sensing Magazine cover
IEEE Geoscience and Remote Sensing Magazine
IF:
16.4
Papers:
1.0W
Citations:
5.1K

Organization

N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W