Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Ehsanollah Kabir"'
Publikováno v:
NeuroImage, Vol 252, Iss , Pp 119054- (2022)
Early detection of Alzheimer's disease (AD) is essential for developing effective treatments. Neuroimaging techniques like Magnetic Resonance Imaging (MRI) have the potential to detect brain changes before symptoms emerge. Structural MRI can detect a
Externí odkaz:
https://doaj.org/article/f68803a8ea424449802e34a6dc3d44a5
Publikováno v:
IET Computer Vision, Vol 12, Iss 6, Pp 925-932 (2018)
In this study, a method for holistic recognition of handwritten Farsi words is proposed, which fuses the outputs of right‐to‐left (RtL) and left‐to‐right (LtR) hidden Markov models (HMMs). The experimental results on 16,000 images of 200 name
Externí odkaz:
https://doaj.org/article/fe3296074f334ad9bd58b6a220bcb8a7
Publikováno v:
Iranian Journal of Medical Physics, Vol 11, Iss 4, Pp 308-315 (2014)
Introduction Raman spectroscopy is a vibrational spectroscopic technique, based on inelastic scattering of monochromatic light. This technique can provide valuable information about biomolecular changes, associated with neoplastic transformation. The
Externí odkaz:
https://doaj.org/article/d602db5af8de4f39a1b16bd47fa5a4db
Autor:
Vahid Ghods, Ehsanollah Kabir
Publikováno v:
Journal of Intelligent Procedures in Electrical Technology, Vol 3, Iss 10, Pp 55-65 (2012)
In this paper, grouping and recognition of online Farsi discrete characters are presented according to their structural features. The letters are divided into 9 groups based on the form and structure of their main bodies. After feature extraction, gr
Externí odkaz:
https://doaj.org/article/eba31f486aac483c9ae77da018f62774
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 2, Pp 1-8 (2010)
This paper presents a novel Texture-Edge Descriptor, TED, for background modeling and pedestrian detection in video sequences which models texture and edge information of each image block simultaneously. Each block is modeled as a group of adaptive T
Externí odkaz:
https://doaj.org/article/240aa331388c4d0791e210cfbd5842fa
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 1, Iss 4, Pp 107-115 (2009)
Externí odkaz:
https://doaj.org/article/eee11b2be4104ab780aaca92db7517d6
Autor:
M. Monajati, Ehsanollah Kabir
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 67:750-754
We have recently proposed approximate median filters (APMFs). They are based on the sorting network and achieve acceptable image quality under low-cost hardware. In this brief, we develop a specific comparator to improve the capabilities of those fil
Autor:
Mohammadali Azamian, Ehsanollah Kabir
Publikováno v:
Multimedia Tools and Applications. 78:17929-17948
The musical source separation deals with extracting the musical signals from a mixture. To attain this goal, one of the efficient methods is to decompose the mixture into a dictionary of some basic functions that inherently describe the instruments.
Early detection of Alzheimer’s Disease (AD) is essential for developing effective treatments. Neuroimaging techniques like Magnetic Resonance Imaging (MRI) have the potential to detect brain changes before symptoms emerge. Structural MRI can detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9cdd81f4ca7f1ce39e593e11c55f8a
https://doi.org/10.1101/2021.05.20.21257522
https://doi.org/10.1101/2021.05.20.21257522
Autor:
Ehsanollah Kabir, Nikoo Dehghani
Publikováno v:
ICPR
Fractal Dimension (FD) is widely used for image segmentation because of its successful approach toward quantifying texture information. In this paper, we present a FD-based multi-focus image fusion method that utilizes FD to identify focused regions,