{"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/color-based-segmentation-of-skycloud-images","title":"Color-based Segmentation of Sky/Cloud Images From Ground-based Cameras","arxiv_id":"1606.03669","date":"2016-06-12","proceeding":null,"authors":["Soumyabrata Dev","Yee Hui Lee","Stefan Winkler"],"abstract":"Sky/cloud images captured by ground-based cameras (a.k.a. whole sky imagers)\nare increasingly used nowadays because of their applications in a number of\nfields, including climate modeling, weather prediction, renewable energy\ngeneration, and satellite communications. Due to the wide variety of cloud\ntypes and lighting conditions in such images, accurate and robust segmentation\nof clouds is challenging. In this paper, we present a supervised segmentation\nframework for ground-based sky/cloud images based on a systematic analysis of\ndifferent color spaces and components, using partial least squares (PLS)\nregression. Unlike other state-of-the-art methods, our proposed approach is\nentirely learning-based and does not require any manually-defined parameters.\nIn addition, we release the Singapore Whole Sky IMaging SEGmentation Database\n(SWIMSEG), a large database of annotated sky/cloud images, to the research\ncommunity.","url_abs":"http://arxiv.org/abs/1606.03669v1","url_pdf":"http://arxiv.org/pdf/1606.03669v1.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":[],"tasks":[{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[{"slug":"swimseg","name":"SWIMSEG","full_name":"Singapore Whole sky IMaging SEGmentation Database"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}