{"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/on-image-segmentation-using-fractional","title":"On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference","arxiv_id":"1605.02240","date":"2016-05-07","proceeding":null,"authors":["Anish Acharya","Uddipan Mukherjee","Charless Fowlkes"],"abstract":"Estimates of image gradients play a ubiquitous role in image segmentation and\nclassification problems since gradients directly relate to the boundaries or\nthe edges of a scene. This paper proposes an unified approach to gradient\nestimation based on fractional calculus that is computationally cheap and\nreadily applicable to any existing algorithm that relies on image gradients. We\nshow experiments on edge detection and image segmentation on the Stanford\nBackgrounds Dataset where these improved local gradients outperforms state of\nthe art, achieving a performance of 79.2% average accuracy.","url_abs":"http://arxiv.org/abs/1605.02240v1","url_pdf":"http://arxiv.org/pdf/1605.02240v1.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":"on-image-segmentation-using-fractional","repo_url":"https://github.com/anishacharya/Image-Segmentation-FDOG-TRW","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"edge-detection","task_name":"Edge Detection"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}