Prediction of adaptive exposure time in hyperspectral bands for industrial cameras
| dc.contributor.author | Do?an, Yahya | |
| dc.contributor.author | Ataş, Musa | |
| dc.date.accessioned | 2024-12-24T19:09:45Z | |
| dc.date.available | 2024-12-24T19:09:45Z | |
| dc.date.issued | 2015 | |
| dc.department | Siirt Üniversitesi | |
| dc.description | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052 | |
| dc.description.abstract | In this study, a new method for exposure time correction for hyperspectral imaging is introduced. Initially, hardware setup was established. Then, a look-up table holds the minimum and maximum exposure times for each band was built. By using the developed image acquisition system, images having different exposure times for each hyperspectral band were acquired. After that, various features that can represent the exposure state were identified and a dataset was established. Prediction performance of the proposed method was cross validated by artificial neural network and outcomes were interpreted. It is observed that, by using the proposed method desired exposure quality can be determined with 99% accuracy. © 2015 IEEE. | |
| dc.identifier.doi | 10.1109/SIU.2015.7129910 | |
| dc.identifier.endpage | 660 | |
| dc.identifier.isbn | 978-146737386-9 | |
| dc.identifier.scopus | 2-s2.0-84939205266 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 657 | |
| dc.identifier.uri | https://doi.org10.1109/SIU.2015.7129910 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12604/3737 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241222 | |
| dc.subject | artificial neural network | |
| dc.subject | exposure correction | |
| dc.subject | exposure time | |
| dc.subject | exposure time prediction | |
| dc.subject | image processing | |
| dc.title | Prediction of adaptive exposure time in hyperspectral bands for industrial cameras | |
| dc.title.alternative | Endüstriyel Kameralar Için Hiperspektral Bantlarda Adaptif Pozlama Süresi Kestirimi | |
| dc.type | Conference Object |
