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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16772
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dc.contributor.authorSuresh, Aala-
dc.contributor.authorSikhakolli, Sravan kumar-
dc.contributor.authorMuniraj, Inbarasan-
dc.contributor.authorDeshpande, Anuj-
dc.contributor.authorElumalai, Karthikeyan-
dc.contributor.authorChinnadurai, Sunil-
dc.date.accessioned2024-12-12T09:29:59Z-
dc.date.available2024-12-12T09:29:59Z-
dc.date.issued2024-
dc.identifier.isbn9781957171371-
dc.identifier.urihttps://opg.optica.org/abstract.cfm?URI=3D-2024-DTh1H.6-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16772-
dc.description.abstractIn crime investigations, rapid bloodstain identification is crucial. Hyperspectral imaging (HSI) offers a non-destructive solution. Our investigation into preprocessing techniques to improve classification accuracy and reduce computation time reveals that the best options are max normalization and mean filter. © 2024 The Author(s).en_US
dc.language.isoenen_US
dc.publisherOptica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP)en_US
dc.publisherOptical Society of Americaen_US
dc.subjectClassification Accuracyen_US
dc.subjectComputation Timeen_US
dc.subjectCrime Investigationen_US
dc.subjectHyperspectralen_US
dc.subjectMax Normalizationsen_US
dc.titleA Novel and Robust Preprocessing Technique for Bloodstain Classification In Hyperspectral Imaging Using Mlen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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