Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ömer Emre Yetgin"'
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
Publikováno v:
SoftwareX, Vol 8, Iss , Pp 43-47 (2018)
Detection and avoiding of power lines and cables is a critical issue in aircraft flight safety. Despite various improvements in image analysis literature, most of the safety issues depend on visual capabilities of pilots. It is aimed that proper scen
Externí odkaz:
https://doaj.org/article/72aaa18cfd3e4af19c7123fec4416c55
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:2241-2252
Avoidance of power lines is an important issue of flight safety. Assistance systems that automatically detect power lines can prevent accidents caused by pilot unawareness. In this study, we propose using convolutional neural networks (CNN) to recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45dbaa16ff934e35c9514533ab5a0382
https://doi.org/10.1109/taes.2018.2883879
https://doi.org/10.1109/taes.2018.2883879
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
Publikováno v:
Digital Signal Processing. 77:102-119
WOS: 000432635500011
This paper presents results of power line scene detection methods that use new feature extraction/selection strategies based on Discrete Cosine Transform (DCT) of scenes obtained from aircraft-based cameras. Whenever a scene
This paper presents results of power line scene detection methods that use new feature extraction/selection strategies based on Discrete Cosine Transform (DCT) of scenes obtained from aircraft-based cameras. Whenever a scene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d99445ccc7bb95150c2d3641a4f9c4e
https://doi.org/10.1016/j.dsp.2017.10.012
https://doi.org/10.1016/j.dsp.2017.10.012
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
WOS: 000426868700130
Power Line Detection (PLD) is still an important issue for aircraft safety. In this study, two simple
WOS: 000426868700130
Power Line Detection (PLD) is still an important issue for aircraft safety. In this study, two simple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d68eab9f4b34420bf417f031f82f50c
https://dc.doi.org/10.1109/IDAP.2017.8090290
https://dc.doi.org/10.1109/IDAP.2017.8090290
Publikováno v:
2015 9th International Conference on Electrical and Electronics Engineering (ELECO).
9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEY
WOS: 000380410800044
Power lines constitute a great thread for aircraft flight safety. Digital camera based methods consider
WOS: 000380410800044
Power lines constitute a great thread for aircraft flight safety. Digital camera based methods consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6d64eb9c3995de37d1511cf207bcb79
https://doi.org/10.1109/eleco.2015.7394489
https://doi.org/10.1109/eleco.2015.7394489
Publikováno v:
SIU
In this paper, a fast method for voiced-unvoiced classification of speech signals is introduced. The suggested method makes the V-UV decision, using signal energy, the peak-to-peak differerence of the autocorrelation function, number of zero crossing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76e171fa1a9beac6c1936d459c2164fb
https://doi.org/10.1109/siu.2014.6830601
https://doi.org/10.1109/siu.2014.6830601
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
Publikováno v:
SIU
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
WOS: 000325005300078
EDlines is a robust and accurate line segment detector that is known to run 11 times faster than the popular (and fast
WOS: 000325005300078
EDlines is a robust and accurate line segment detector that is known to run 11 times faster than the popular (and fast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffae4d6b6ac76283bf986fddcfe8e53b
https://hdl.handle.net/11421/20366
https://hdl.handle.net/11421/20366