Towards the automatic segmentation of HEp-2 cells in indirect immunofluorescence images using an efficient filtering based approach
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08651-w
Abstract: The computer aided analysis of Indirect-Immunofluorescence (IIF) images is important for the differential diagnosis of several autoimmune diseases. A fully automatic approach consists in segmentation of individual cells in IIF images and subsequently its classification… read more here.
Keywords: filtering based; indirect immunofluorescence; iif images; approach ... See more keywords
A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-016-0081-z
Abstract: For a multivariable system with moving average noise (i.e., a multivariable controlled autoregressive moving average system), this paper proposes a filtering based extended stochastic gradient (ESG) algorithm and a filtering based multi-innovation ESG algorithm for… read more here.
Keywords: filtering based; multi innovation; extended stochastic; based multi ... See more keywords
Particle-filtering-based failure prognosis via sigma-points: Application to Lithium-Ion battery State-of-Charge monitoring
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.08.029
Abstract: Abstract This paper presents a novel prognostic method that allows a proper characterization of the uncertainty associated with the evolution in time of nonlinear dynamical systems. The method assumes a state-space representation of the system,… read more here.
Keywords: state; filtering based; prognosis; sigma points ... See more keywords
Adaptive Neuro-Filtering Based Visual Servo Control of a Robotic Manipulator
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DOI: 10.1109/access.2019.2920941
Abstract: This paper focuses on the solutions to flexibly regulate robotic by vision. A new visual servoing technique based on the Kalman filtering (KF) combined neural network (NN) is developed, which need not have any calibration… read more here.
Keywords: adaptive neuro; filtering based; noise; neuro filtering ... See more keywords
Diffusion Hammerstein Spline Adaptive Filtering based on Orthogonal Gradient Adaptive Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179421
Abstract: In this paper, we propose a class of nonlinear diffusion filtering based on Hammerstein function with the spline adaptive filter (HSAF) implemented by normalised version of orthogonal gradient adaptive (NOGA) algorithm over the distributed network.… read more here.
Keywords: gradient adaptive; spline adaptive; diffusion; algorithm ... See more keywords
Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3103381
Abstract: Haze in remote sensing images severely degrades image visibility, making it hard to identify different land covers. This work proposes an edge-preserving filtering-based image dehazing method for remote sensing images, mainly consisting of following several… read more here.
Keywords: remote sensing; preserving filtering; edge preserving; sensing images ... See more keywords
Filtering-Based Accelerated Estimation Approach for Generalized Time-Varying Systems With Disturbances and Colored Noises
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3206792
Abstract: This brief studies the parameter estimation problem of a generalized time-varying system by using a novel gradient descent algorithm. The time-varying parameters are estimated by the accelerating gradient descent algorithm under considering the measurable disturbance… read more here.
Keywords: generalized time; estimation; time varying; filtering based ... See more keywords
Command Filtering-Based Fuzzy Control for Nonlinear Systems With Saturation Input
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2633367
Abstract: In this paper, command filtering-based fuzzy control is designed for uncertain multi-input multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command filtering method is employed to deal with the explosion of complexity caused… read more here.
Keywords: filtering based; input; based fuzzy; command filtering ... See more keywords
Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3110655
Abstract: This paper proposes a Kalman filtering (KF)-based combining scheme for multiple-input multiple-output (MIMO) systems with hybrid automatic repeat request (ARQ). In the state-space model, the change of a transmit signal vector in consecutive transmission time… read more here.
Keywords: mimo systems; filtering based; systems hybrid; based combining ... See more keywords
Guided filtering-based nonlocal means despeckling of optical coherence tomography images.
Sign Up to like & getrecommendations! Published in 2020 at "Optics letters"
DOI: 10.1364/ol.400926
Abstract: This Letter presents a guided filtering (GF)-based nonlocal means (NLM) method for despeckling of optical coherence tomography (OCT) images. Unlike existing NLM methods that determine weights using image intensities or features, the proposed method first… read more here.
Keywords: filtering based; optical coherence; based nonlocal; despeckling optical ... See more keywords