{"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/joint-multi-leaf-segmentation-alignment-and","title":"Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos","arxiv_id":"1505.00353","date":"2015-05-02","proceeding":null,"authors":["Xi Yin","Xiaoming Liu","Jin Chen","David M. Kramer"],"abstract":"This paper proposes a novel framework for fluorescence plant video\nprocessing. The plant research community is interested in the leaf-level\nphotosynthetic analysis within a plant. A prerequisite for such analysis is to\nsegment all leaves, estimate their structures, and track them over time. We\nidentify this as a joint multi-leaf segmentation, alignment, and tracking\nproblem. First, leaf segmentation and alignment are applied on the last frame\nof a plant video to find a number of well-aligned leaf candidates. Second, leaf\ntracking is applied on the remaining frames with leaf candidate transformation\nfrom the previous frame. We form two optimization problems with shared terms in\ntheir objective functions for leaf alignment and tracking respectively. A\nquantitative evaluation framework is formulated to evaluate the performance of\nour algorithm with four metrics. Two models are learned to predict the\nalignment accuracy and detect tracking failure respectively in order to provide\nguidance for subsequent plant biology analysis. The limitation of our algorithm\nis also studied. Experimental results show the effectiveness, efficiency, and\nrobustness of the proposed method.","url_abs":"http://arxiv.org/abs/1505.00353v2","url_pdf":"http://arxiv.org/pdf/1505.00353v2.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":"joint-multi-leaf-segmentation-alignment-and","repo_url":"https://github.com/xiyinmsu/PlantVision","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}