Rough Set Based Color Channel Selection
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Nov 2016.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2022Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Surveycited by 2
- 2024Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) datasetcited by 1
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- 2026Image Augmentation as Test Generation for Deep Learning-Based Image Retrieval Systems27 Aug 2026
- 2024Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset5 Sep 2024
- 2022Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey27 Nov 2022