Zobrazeno 1 - 10
of 56
pro vyhledávání: '"John N. Lygouras"'
Publikováno v:
Multimedia Tools and Applications. 77:9393-9415
A fundamental problem in computer vision is finding correspondences between features in pairs of similar images. By comparing feature descriptors instead of pixel intensities, the matching capability is significantly increased. Keypoints extracted by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef0f0e90452f3898f6cf991517bbbf47
https://doi.org/10.1007/s11042-017-5042-x
https://doi.org/10.1007/s11042-017-5042-x
Publikováno v:
Microprocessors and Microsystems. 40:53-73
A fully pipelined FPGA-based architecture for real-time SIFT detector and descriptor is proposed.Each descriptor vector is extracted in one clock cycle, i.e. 46 ns considering Cyclone IV technology.The overall frame rate is independent of the number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b92ee615b2da70df76b8727332c9bec
https://doi.org/10.1016/j.micpro.2015.11.013
https://doi.org/10.1016/j.micpro.2015.11.013
Publikováno v:
Journal of Food Engineering. 272:109863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da70fa0efac910a44371bfed10e39991
https://doi.org/10.1016/j.jfoodeng.2019.109863
https://doi.org/10.1016/j.jfoodeng.2019.109863
Publikováno v:
International Journal of Computing. :141-156
The implementation of an advanced real-time, low cost video processing platform capable of supporting a variety of demanding robotic applications is presented. The system is designed as an open project, accessible in full detail and has the potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9676ebe68ca9324fc99bd08c6072aa64
https://doi.org/10.47839/ijc.14.3.813
https://doi.org/10.47839/ijc.14.3.813
Publikováno v:
Journal of Food Engineering. 142:118-131
To address the rapid and non-destructive detection of meat spoilage microorganisms during aerobic storage at chill and abuse temperatures, Fourier transform infrared spectroscopy (FTIR) with the help of an intelligent-based identification system was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9476e6ebe4d4a150398bd8cf443ae307
https://doi.org/10.1016/j.jfoodeng.2014.06.018
https://doi.org/10.1016/j.jfoodeng.2014.06.018
Publikováno v:
IDAACS
Efficient detection and reliable matching of image features constitute a fundamental task in computer vision. When real-time operation is required, the solution to this problem becomes a real challenge, because of increased processing requirements. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ad022188a17ce6311afa414d00f1cc
https://doi.org/10.1109/idaacs.2017.8095057
https://doi.org/10.1109/idaacs.2017.8095057
Autor:
Th. Pachidis, John N. Lygouras, East Macedonia Mechanical En gineering, Education, Ag. Loukas, Kavala, Greece, K.N. Tarchanidis, J. N. Tarchanidis
Publikováno v:
Journal of Engineering Science and Technology Review. 7:188-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2a254e60c505229a6fbcca74a054869
https://doi.org/10.25103/jestr.073.30
https://doi.org/10.25103/jestr.073.30
Publikováno v:
Journal of Engineering Science and Technology Review. 6:38-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eea3aa8eb43951a53e14c47b626cdfe
https://doi.org/10.25103/jestr.061.08
https://doi.org/10.25103/jestr.061.08
Publikováno v:
Microprocessors and Microsystems. 36:33-44
In this study, a novel methodology for the design automation of cellular neural networks (CNNs) for different applications is proposed. In particular, an evolvable algorithm has been developed providing the ability to generate the netlist of the requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67d8ed4c6d552b5f56d5479cae1cad06
https://doi.org/10.1016/j.micpro.2011.08.001
https://doi.org/10.1016/j.micpro.2011.08.001
Publikováno v:
Expert Systems with Applications. 39:1435-1450
The aim of the present work is to investigate the capabilities of a wavelet neural network for describing the inactivation pattern of Listeria monocytogenes by high hydrostatic pressure in milk, and to compare its performance against classic neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afc55963cd0b6dcd54295231c2089cdc
https://doi.org/10.1016/j.eswa.2011.08.028
https://doi.org/10.1016/j.eswa.2011.08.028