A Baseline Statistical Method for Robust User-Assisted Multiple Segmentation

Basit Öğe Kaydı
dc.authoridAfser, Huseyin/0000-0002-6302-4558
dc.contributor.authorAfser, Huseyin
dc.date.accessioned2025-01-06T17:37:29Z
dc.date.available2025-01-06T17:37:29Z
dc.date.issued2022
dc.description.abstractRecently, several image segmentation methods that welcome and leverage different types of user assistance have been developed. In these methods, the user inputs can be provided by drawing hounding boxes over image objects, drawing scribbles or planting seeds that help to differentiate between image boundaries or by interactively refining the missegmented image regions. Due to the variety in the types and the amounts of these inputs, relative assessment of different segmentation methods becomes difficult. As a possible solution, we propose a simple yet effective, statistical segmentation method that can handle and utilize different input types and amounts. The proposed method is based on robust hypothesis testing, specifically the DGL test, and can be implemented with time complexity that is linear in the number of pixels and quadratic in the number of image regions. Therefore, it is suitable to be used as a baseline method for quick benchmarking and assessing the relative performance improvements of different types of user-assisted segmentation algorithms. We provide a mathematical analysis on the operation of the proposed method, discuss its capabilities and limitations, provide design guidelines and present simulations that validate its operation.
dc.identifier.doi10.1109/LSP.2022.3154313
dc.identifier.endpage741
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.scopus2-s2.0-85125751998
dc.identifier.scopusqualityQ1
dc.identifier.startpage737
dc.identifier.urihttps://doi.org/10.1109/LSP.2022.3154313
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2229
dc.identifier.volume29
dc.identifier.wosWOS:000770588800007
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Signal Processing Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectDGL test
dc.subjectimage segmentation
dc.subjectinteractive segmentation
dc.subjectmultiple instance segmentation
dc.subjectrobust hypothesis testing
dc.subjectuser-assisted segmentation
dc.titleA Baseline Statistical Method for Robust User-Assisted Multiple Segmentation
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu