Zobrazeno 1 - 10
of 400
pro vyhledávání: '"O. A. Fahmy"'
Publikováno v:
Вестник хирургии имени И.И. Грекова, Vol 182, Iss 6, Pp 27-31 (2024)
OBJECTIVE. To investigate the efficacy of extracorporeal shockwave lithotripsy (ESWL) and ureteroscopic laser lithotripsy (URS) treatment of upper ureteric stones between 10 to 20 mm in size. From January 2020 to January 2023, 75 patients were treate
Externí odkaz:
https://doaj.org/article/5e043ec99b5d4c8388f9cd65c8dddb64
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 33, Iss 6, Pp 404-412 (2021)
Automatic segmentation of brain tumor from Magnetic Resonance Images (MRI) is one of the challenging tasks in computer vision. Many proposals investigate the use of Deep Neural Networks (DNN) in image segmentation as they have a high performance in a
Publikováno v:
ISSPIT
Magnifying micro movements of natural videos that are undetectable by human eye have recently received considerable interests. This is due to its impact in numerous applications. In this paper, we present a new technique to estimate accurate phase ch
Autor:
O. M. Fahmy, Mamdouh F. Fahmy
Publikováno v:
IET Image Processing. 12:1354-1360
The complex wavelet transforms (CWTs) are known for their excellent edge preserving together with nearly shift invariant features. This study presents new orthogonal CWT filter designs. The proposed designs guarantee the perfect reconstruction featur
Publikováno v:
Signal, Image and Video Processing. 12:1505-1512
Magnifying micro-movements of natural videos that are undetectable by human eye has recently received considerable interests, due to its impact in numerous applications. In this paper, we use dual tree complex wavelet transform (DT-CWT), to analyze v
Publikováno v:
IET Image Processing. 11:986-993
Magnifying micro-movements from natural video has recently been investigated by several computer vision researchers, due to its impact in numerous applications. In this study, the authors analyse video signals and try to magnify micro-movements/vibra
Autor:
Mamdouh F. Fahmy, O. M. Fahmy
Publikováno v:
2018 35th National Radio Science Conference (NRSC).
The complex wavelet Transforms CWTs are known for their excellent edge preserving together with nearly shift invariant features. They are implemented as two real DWTs connected in parallel. These two DWTs are designed such that their wavelet coeffici
Publikováno v:
2018 35th National Radio Science Conference (NRSC).
Magnifying micro movements of natural videos that are undetectable by human eye, has recently received considerable interests, due to its impact in numerous applications. In this paper, we use Dual Tree Complex Wavelet Transform DT-CWT, to analyze vi
Autor:
Mamdouh F. Fahmy, O. M. Fahmy
Publikováno v:
2016 33rd National Radio Science Conference (NRSC).
This paper, describes the design of Hilbert transform wavelet bases using filters satisfying simultaneous magnitude and half sample delay constraints. These bases are crucial in the design and implementation of Dual Tree Complex Wavelet Transform, DT
Autor:
O. M. Fahmy, Mamdouh F. Fahmy
Publikováno v:
2016 33rd National Radio Science Conference (NRSC).
This paper describes a simple fast forgery detection scheme. The proposed technique makes use of the fact that, the copied or tampered parts, will not contain the correct camera fingerprint, of the regions it copied to. The technique is based on loca