Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10631
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dc.contributor.authorMishra, Vikash Kumaren_US
dc.contributor.authorGupta, Gunjanen_US
dc.contributor.authorPragya, Nidhien_US
dc.contributor.authorAleem, Abdulen_US
dc.contributor.authorKumar, Vimalen_US
dc.date.accessioned2026-07-28T12:35:54Z-
dc.date.available2026-07-28T12:35:54Z-
dc.date.issued2025-
dc.identifier.citationMishra, V.K. et al. 2025. A study on image segmentation and segmentation methods. (In: Proceedings of International Conference on Recent Innovations in Computing (ICRIC) 2024, Volume 1421, Jammu, India, 22-23 August 2024. p 293-305. [https://doi.org/10.1007/978-981-96-6034-6_20]en_US
dc.identifier.urihttp://hdl.handle.net/11189/10631-
dc.description.abstractThe image is a composition of many pixels. These pixels include two pieces of information: Coordinate or position and intensity value. The image includes several objects; extracting the crucial objects from the image is critical. Based on the similarity of patterns, classes, groups, and segments of contained objects in the image can be created. Assigning the labels to the pixels is necessary to make the image more informative for analyzing features and decision-making. This study addresses segmentation techniques for extracting objects of interest from the image.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.titleA study on image segmentation and segmentation methodsen_US
dc.relation.conferenceProceedings of International Conference on Recent Innovations in Computing (ICRIC)en_US
dc.identifier.doihttps://doi.org/10.1007/978-981-96-6034-6_20-
dc.typeOtheren_US
Appears in Collections:Eng - Conference Proceedings
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