{"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/a-novel-approach-for-image-segmentation-based","title":"A Novel Approach for Image Segmentation based on Histograms computed from Hue-data","arxiv_id":"1707.09643","date":"2017-07-30","proceeding":null,"authors":["Viraj Mavani","Ayesha Gurnani","Jhanvi Shah"],"abstract":"Computer Vision is growing day by day in terms of user specific applications.\nThe first step of any such application is segmenting an image. In this paper,\nwe propose a novel and grass-root level image segmentation algorithm for cases\nin which the background has uniform color distribution. This algorithm can be\nused for images of flowers, birds, insects and many more where such background\nconditions occur. By image segmentation, the visualization of a computer\nincreases manifolds and it can even attain near-human accuracy during\nclassification.","url_abs":"http://arxiv.org/abs/1707.09643v1","url_pdf":"http://arxiv.org/pdf/1707.09643v1.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":"a-novel-approach-for-image-segmentation-based","repo_url":"https://github.com/Alihussain1/Image-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"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":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}