Alliance University, Bengaluru
Institutional Repository
Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16772| Title: | A Novel and Robust Preprocessing Technique for Bloodstain Classification In Hyperspectral Imaging Using Ml |
| Authors: | Suresh, Aala Sikhakolli, Sravan kumar Muniraj, Inbarasan Deshpande, Anuj Elumalai, Karthikeyan Chinnadurai, Sunil |
| Keywords: | Classification Accuracy Computation Time Crime Investigation Hyperspectral Max Normalizations |
| Issue Date: | 2024 |
| Publisher: | Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP) Optical Society of America |
| Abstract: | In 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). |
| URI: | https://opg.optica.org/abstract.cfm?URI=3D-2024-DTh1H.6 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16772 |
| ISBN: | 9781957171371 |
| Appears in Collections: | Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.