Results 11 to 20 of about 114 (95)
Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation. [PDF]
Int J Biomed Imaging, 2011 The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI. Multiresolution analysis (MRA) using wavelet, ridgelet, and curvelet transforms has been used in the ...
Alzubi S, Islam N, Abbod M.
europepmc +2 more sources
Diabetic retinopathy grading by digital curvelet transform. [PDF]
Comput Math Methods Med, 2012 One of the major complications of diabetes is diabetic retinopathy. As manual analysis and diagnosis of large amount of images are time consuming, automatic detection and grading of diabetic retinopathy are desired. In this paper, we use fundus fluorescein angiography and color fundus images simultaneously, extract 6 features employing curvelet ...
Hajeb Mohammad Alipour S +2 more
europepmc +2 more sources
A survey of partition-based techniques for copy-move forgery detection. [PDF]
ScientificWorldJournal, 2014 A copy‐move forged image results from a specific type of image tampering procedure carried out by copying a part of an image and pasting it on one or more parts of the same image generally to maliciously hide unwanted objects/regions or clone an object.
Diane WN, Xingming S, Moise FK.
europepmc +2 more sources
Priors in Bayesian Deep Learning: A Review
International Statistical Review, Volume 90, Issue 3, Page 563-591, December 2022., 2022 Summary While the choice of prior is one of the most critical parts of the Bayesian inference workflow, recent Bayesian deep learning models have often fallen back on vague priors, such as standard Gaussians. In this review, we highlight the importance of prior choices for Bayesian deep learning and present an overview of different priors that have ...
Vincent Fortuin
wiley +1 more source
Multivariable passive method for detection of islanding events in renewable energy based power grids
IET Renewable Power Generation, Volume 16, Issue 3, Page 497-516, 24 February 2022., 2022 Abstract Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural gases.
Nagendra Kumar Swarnkar +3 more
wiley +1 more source
Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras
Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 The shearlet transform is a promising and powerful time‐frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford‐valued shearlet transform on Cl(p,q) algebras which is designed to represent Clifford‐valued signals at different scales, locations, and orientations. We investigated
Firdous A. Shah +3 more
wiley +1 more source
Small‐Scale Void‐Size Determination in Reinforced Concrete Using GPR
Advances in Civil Engineering, Volume 2020, Issue 1, 2020., 2020 The detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. However, the void is difficult to be detected at its early stage of formation on account of its small scale and concealment. Although, in view of the remarkable performance such as precision and continuity, ground penetrating radar (GPR) is
Yong Yang +5 more
wiley +1 more source
Inversion of the Attenuated X‐Ray Transforms: Method of Riesz Potentials
Journal of Function Spaces, Volume 2020, Issue 1, 2020., 2020 The attenuated X‐ray transform arises from the image reconstruction in single‐photon emission computed tomography. The theory of attenuated X‐ray transforms is so far incomplete, and many questions remain open. This paper is devoted to the inversion of the attenuated X‐ray transforms with nonnegative varying attenuation functions μ, integrable on any ...
Yu Yufeng, Dashan Fan
wiley +1 more source
Directional Multifractal Analysis in the Lp Setting
Journal of Function Spaces, Volume 2019, Issue 1, 2019., 2019 The classical Hölder regularity is restricted to locally bounded functions and takes only positive values. The local Lp regularity covers unbounded functions and negative values. Nevertheless, it has the same apparent regularity in all directions. In the present work, we study a recent notion of directional local Lp regularity introduced by Jaffard. We
Mourad Ben Slimane +5 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2018, Issue 1, 2018., 2018 A variety of supervised learning methods using numerical weather prediction (NWP) data have been exploited for short‐term wind power forecasting (WPF). However, the NWP data may not be available enough due to its uncertainties on initial atmospheric conditions.
Zexian Sun +3 more
wiley +1 more source