| dc.contributor.author | Tumas, Paulius | |
| dc.contributor.author | Serackis, Artūras | |
| dc.date.accessioned | 2023-09-18T16:54:09Z | |
| dc.date.available | 2023-09-18T16:54:09Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/117961 | |
| dc.description.abstract | Computer vision-based image analysis is one of the most widely used food quality tool in food industry. It allows to perform the non-contact and low-cost measurements of inspected object's surface and color. The aim of investigation presented in this paper is to propose an effective algorithm for background subtraction on multi-spectral images. Paper presents the application of multi-spectral image analysis approach using near infrared low cost camera and four different key wavelengths for controlled LED illumination. The performance of the background subtraction algorithm was measured by comparing the variation of estimated area of the food samples in the foreground. An experimental tests showed, that the best performance of background subtraction is received using infrared LED illumination with key wavelength of 940nm using all methods selected for comparison. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-4 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.source.uri | http://ieeexplore.ieee.org/document/7950322/ | |
| dc.subject | IK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies | |
| dc.title | Effective background subtraction algorithm for food inspection using a low-cost near infrared camera | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.references | 16 | |
| dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | Raspberry Pi | |
| dc.subject.en | NoIRv2 camera | |
| dc.subject.en | Near-infrared | |
| dc.subject.en | Food inspection | |
| dc.subject.en | Multi-spectral imaging | |
| dc.subject.en | Low-cost camera | |
| dc.subject.en | Contour extraction | |
| dc.subject.en | Food quality | |
| dcterms.sourcetitle | 2017 Open conference of Electrical, Electronic and Information Sciences (eStream) : proceedings of the conference, April 27, 2017, Vilnius, Lithuania / Organized by: Vilnius Gediminas technical university | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | New York | |
| dc.identifier.doi | 000414282800021 | |
| dc.identifier.doi | 10.1109/eStream.2017.7950322 | |
| dc.identifier.elaba | 23275970 | |
