Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Ezzatollah Salari"'
Autor:
Eid Alkhaldi, Ezzatollah Salari
Publikováno v:
IEEE Access, Vol 10, Pp 128790-128799 (2022)
The high cost of acquiring annotated histological slides for breast specimens entails exploiting an ensemble of models appropriately trained on small datasets. Histological Image Classification ensembles strive to accurately detect abnormal tissues i
Externí odkaz:
https://doaj.org/article/81247e8f15d6426296169a444c24828a
Autor:
Kaveh Ahmadi, Ezzatollah Salari
Publikováno v:
IET Computer Vision, Vol 11, Iss 3, Pp 246-254 (2017)
The particle filter (PF), a non‐parametric implementation of the Bayes filter, is commonly used to estimate the state of a dynamic non‐linear non‐Gaussian system. The key idea is to construct a posterior probability satisfying a set of hypothes
Externí odkaz:
https://doaj.org/article/f2da978566e14986a6620ffe1649a017
Autor:
Kaveh Ahmadi, Ezzatollah Salari
Publikováno v:
IET Image Processing. 11:13-21
Sparse coding (SC) has recently become a widely used tool in signal and image processing. The sparse linear combination of elements from an appropriately chosen over-complete dictionary can represent many signal patches. SC applications have been exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6aa43163b402eea8d6374e436bb7993
https://doi.org/10.1049/iet-ipr.2016.0273
https://doi.org/10.1049/iet-ipr.2016.0273
Autor:
Ezzatollah Salari, Kaveh Ahmadi
Publikováno v:
Pattern Recognition. 58:227-234
Small dim target tracking is an active and important research area in image processing and pattern recognition. Recently, there has been an emphasis on the development of algorithms based on spatial domain Constant False Alarm Rate (CFAR) detection.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c63499a75b0e8b5da1b577c50343c544
https://doi.org/10.1016/j.patcog.2016.04.001
https://doi.org/10.1016/j.patcog.2016.04.001
Autor:
Ezzatollah Salari, Fayadh Alenezi
Publikováno v:
ISSPIT
Medical image fusion is important in biomedical applications for non-invasive diagnosis. Multimodal image fusion reduces defects associated with images created from single modalities, which often result in less informative and therefore less useful i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c20ef8d99dcfd0cb67013fa9aec190f
https://doi.org/10.1109/isspit.2018.8642629
https://doi.org/10.1109/isspit.2018.8642629
Autor:
Ezzatollah Salari, Fayadh Alenezi
Publikováno v:
EIT
Medical image fusion (MIF), an image viewing technique for diagnostic images, works by reducing uncertainty and redundancy associated with viewing two separate images. The resultant fused image is easier for physicians to interpret than the originals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3920a2eb6d316beef256af3925562d2e
https://doi.org/10.1109/eit.2018.8500134
https://doi.org/10.1109/eit.2018.8500134
Autor:
Ezzatollah Salari, Kyle Dannemiller
Publikováno v:
EIT
Algae growth is a natural occurrence in many areas including: freshwater lakes, ponds, gulfs and other bodies of water. The algae can benefit the environment they live in or damage it when a harmful algal bloom takes place. For this reason, the rapid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f8adc6dfe32234194f44b928b58347e
https://doi.org/10.1109/eit.2018.8500095
https://doi.org/10.1109/eit.2018.8500095
Publikováno v:
Signal Processing: Image Communication. 32:33-39
Image compression is one of the most important research areas in the field of image processing due to its large number of applications such as aerial surveillance, reconnaissance, medicine and multimedia communication. Even when high data rates are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4938458e56dec91fe224475cefc33b2
https://doi.org/10.1016/j.image.2015.01.001
https://doi.org/10.1016/j.image.2015.01.001
Autor:
Kaveh Ahmadi, Ezzatollah Salari
Publikováno v:
2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS).
Particle Filter (PF) is considered as an extension of the Kalman filter to deal with non-Gaussian non-linear dynamic systems. The key idea is to construct a posterior probability by a set of hypotheses representing a potential state of the system. Sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d36573aae90f2a9f2670e8157983d5
https://doi.org/10.1109/naecon.2016.7856772
https://doi.org/10.1109/naecon.2016.7856772
Publikováno v:
EIT
Detecting and tracking dim small targets in infrared images and videos are very important in the field of image processing, such as video surveillance and infrared imaging precise guidance. Recently, Support Vector Machine (SVM) based algorithms have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c30aa516fec2a60ecbb8fa43112bea07
https://doi.org/10.1109/eit.2016.7535265
https://doi.org/10.1109/eit.2016.7535265