| dc.contributor.author | Šabanovič, Eldar | |
| dc.contributor.author | Matuzevičius, Dalius | |
| dc.date.accessioned | 2023-09-18T16:33:34Z | |
| dc.date.available | 2023-09-18T16:33:34Z | |
| dc.date.issued | 2015 | |
| dc.identifier.other | (BIS)VGT02-000031449 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/114898 | |
| dc.description.abstract | Automated analysis of the segment LCD images may be utilized to detect hardware or software related problems of the device or LCD itself. The malfunction may be revealed through detection of faulty segments. Difficulties to automate image analysis arise from existing intensity and geometric distortions. We adopt concepts of biological visual systems to improve performance of computational system. In this paper we compare conventional and bio-inspired local feature detectors along with descriptors, and introduce a new feature matching approach based on evidence accumulation. Finally we construct specialized algorithm for alignment of LCD images. The performance of the proposed algorithm has been evaluated on the set of semi-synthetic images. The comparison with common image registration techniques shows elimination of image misalignments. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-5 | |
| 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/xpl/articleDetails.jsp?arnumber=7367313&punumber%3D7361819%26filter%3DAND%28p_IS_Number%3A7367271%29%26pageNumber%3D2 | |
| dc.subject | IK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies | |
| dc.title | Application of human visual system models to LCD image analysis | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.references | 0 | |
| 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 | N 011 - Biofizika / Biophysics | |
| 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 | Detectors | |
| dc.subject.en | Algorithm design and analysis | |
| dc.subject.en | Feature extraction | |
| dc.subject.en | Measurement | |
| dcterms.sourcetitle | AIEEE 2015. Advances in Information, Electronic and Electrical Engineering (AIEEE) : proceedings of the 2015 IEEE 3rd workshop, November 13–14, 2015 Riga, Latvia | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | New York | |
| dc.identifier.doi | 000380433700034 | |
| dc.identifier.doi | 10.1109/AIEEE.2015.7367313 | |
| dc.identifier.elaba | 15331993 | |
