Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Yanbei Liu"'
Publikováno v:
IEEE Access, Vol 7, Pp 60697-60706 (2019)
Through a comparative analysis, we confirm that the value of the dark channel pixels of the smoke image is higher than the non-smoke image. It means that the dark channel of the smoke image has more elaborate information of the smoke, which is of gre
Externí odkaz:
https://doaj.org/article/40e038b2e7b74bbfa6a95bc5fedc2452
Publikováno v:
IEEE Access, Vol 7, Pp 151180-151188 (2019)
Automated ultrasonic signal classification systems are often utilized for the recognition of a large number of ultrasonic signals in engineering materials. Existing defect classification methods are mainly image-based and serve to extract features fo
Externí odkaz:
https://doaj.org/article/3f3487a593194c7d8d2529013f93e8eb
Publikováno v:
IEEE Access, Vol 7, Pp 92378-92387 (2019)
A hatching egg activity classification method aims to accurately and quickly distinguish between dead embryos and live embryos. The existing embryonic classification models collect egg images via a specific imaging system. The image features are then
Externí odkaz:
https://doaj.org/article/7cf406e4f5fa4090a4cd15a9739e43df
Publikováno v:
Signal, Image and Video Processing. 17:2297-2303
Tuberculosis is a common infectious disease in the world. Tuberculosis cavities are common and important imaging signs in pulmonary tuberculosis. Accurate segmentation of pulmonary tuberculosis cavities has practical significance for indicating the a
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Publikováno v:
IEEE Transactions on Big Data. :1-13
Publikováno v:
IEEE Access, Vol 6, Pp 75843-75854 (2018)
In this paper, the problem of estimating the spatial parameters of multiple coherently distributed linear chirp sources is considered. In the fractional Fourier domain, a novel low-complexity algorithm based on the MUSIC criterion is proposed to esti
Externí odkaz:
https://doaj.org/article/e0f9b6e8d077429ba3410bf64d59bb42
Publikováno v:
Information Sciences. 616:204-216
Publikováno v:
Signal, Image and Video Processing. 16:873-880