{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/systematic-study-of-color-spaces-and","title":"Systematic study of color spaces and components for the segmentation of sky/cloud images","arxiv_id":"1701.04520","date":"2017-01-17","proceeding":null,"authors":["Soumyabrata Dev","Yee Hui Lee","Stefan Winkler"],"abstract":"Sky/cloud imaging using ground-based Whole Sky Imagers (WSI) is a\ncost-effective means to understanding cloud cover and weather patterns. The\naccurate segmentation of clouds in these images is a challenging task, as\nclouds do not possess any clear structure. Several algorithms using different\ncolor models have been proposed in the literature. This paper presents a\nsystematic approach for the selection of color spaces and components for\noptimal segmentation of sky/cloud images. Using mainly principal component\nanalysis (PCA) and fuzzy clustering for evaluation, we identify the most\nsuitable color components for this task.","url_abs":"http://arxiv.org/abs/1701.04520v1","url_pdf":"http://arxiv.org/pdf/1701.04520v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"systematic-study-of-color-spaces-and","repo_url":"https://github.com/Soumyabrata/color-channels","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}