Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Hamid-Reza Pourreza"'
Autor:
Noushin Eftekhari, Hamid-Reza Pourreza, Mojtaba Masoudi, Kamaledin Ghiasi-Shirazi, Ehsan Saeedi
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-16 (2019)
Abstract Background and objectives Diabetic retinopathy (DR) is the leading cause of blindness worldwide, and therefore its early detection is important in order to reduce disease-related eye injuries. DR is diagnosed by inspecting fundus images. Sin
Externí odkaz:
https://doaj.org/article/785786799c6542099210c036a3cd8198
Publikováno v:
Food Science & Nutrition, Vol 8, Iss 4, Pp 1923-1932 (2020)
Food Science & Nutrition
Food Science & Nutrition
Saffron classification based on machine vision techniques as well as the expert's opinion is an objective and nondestructive method that can increase the accuracy of this process in real applications. The experts in Iran classify saffron into three c
Autor:
Hamid Reza Pourreza, Mohammad Hossein Bahreyni Toossi, Alireza Mehdizadeh, Reza Pourreza, Meysam Tavakoli
Publikováno v:
Iranian Journal of Medical Physics, Vol 6, Iss 1, Pp 13-20 (2009)
Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic p
Externí odkaz:
https://doaj.org/article/2c90ee9fddcb4f98a0fa2b187decdc7b
Publikováno v:
Machine Vision and Applications. 30:1191-1207
Most existing systems for calibrating multi-projector display suffered from several important limitations such as dependence on point of view, restriction on the display surface and moreover the number of projectors and using obtrusive markers. In th
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 18
Issue 7
International Journal of Environmental Research and Public Health, Vol 18, Iss 3735, p 3735 (2021)
Volume 18
Issue 7
International Journal of Environmental Research and Public Health, Vol 18, Iss 3735, p 3735 (2021)
(1) Background: As diabetes melllitus (DM) can affect the microvasculature, this study evaluates different clinical parameters and the vascular density of ocular surface microvasculature in diabetic patients. (2) Methods: In this cross-sectional stud
Autor:
Hamid Reza Pourreza, Mina Masoudifar
Publikováno v:
2020 10th International Conference on Computer and Knowledge Engineering (ICCKE).
Texture identification has many potential application such as image segmentation, content based image retrieval and so on. In real world, noise and blur are considered as nuisance factors in texture analysis. In this paper, robustness of local simila
Perceptual decision making, as a process of detecting and categorizing information, has been studied extensively over the last two decades. In this study, we investigated the neural characterization of the whole decision-making process by discovering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edeb23763ca4fb290086ae69485e6d30
https://doi.org/10.1101/2020.05.23.104620
https://doi.org/10.1101/2020.05.23.104620
Autor:
Hamid Reza Pourreza, Mina Masoudifar
Publikováno v:
IET Image Processing. 11:1123-1134
As the physical size of single pixels in digital cameras grows smaller, the captured images are increasingly affected by defocused blurring and consequently valuable details are lost. Different aperture patterns have already been proposed to mitigate
Autor:
Hamid Reza Pourreza, Hamid Mansouri
Publikováno v:
Signal, Image and Video Processing. 11:1543-1550
In this paper, a model-based compression algorithm is proposed to compress the fingerprint image data. The proposed model is based on parallel lines with identical orientations, arbitrary widths, and similar gray-level values positioned on a rectangl
Publikováno v:
Computer Methods and Programs in Biomedicine. 139:93-108
Our method can diagnose diabetic retinopathy through analyzing retinal image.This method is based on discriminative dictionary learning and sparse representation.Previous methods relied on fixed dictionary but we obtain dictionary via learning.The re