Classification of rotated and scaled textures using HMHV spectrum estimation and the Fourier-Mellin transform
In the framework of image modeling for texture analysis, we propose the combination of the
new parametric 2-D spectrum estimation method called HMHV (harmonic mean horizontal …
new parametric 2-D spectrum estimation method called HMHV (harmonic mean horizontal …
Choice of a 2-D causal autoregressive texture model using information criteria
O Alata, C Olivier - Pattern Recognition Letters, 2003 - Elsevier
In the context of parametric modeling for image processing, we derive an estimation method
for both the order and the parameters of 2-D causal autoregressive model with different …
for both the order and the parameters of 2-D causal autoregressive model with different …
A new Levinson–Durbin based 2-D AR model parameter estimation method
M Zeinali, M Shafiee - Multidimensional Systems and Signal Processing, 2016 - Springer
This paper presents a new method for estimating the parameters of quarterplane two
dimensional (2-D) autoregressive model based on the Levinson–Durbin algorithm. To …
dimensional (2-D) autoregressive model based on the Levinson–Durbin algorithm. To …
A new multidimensional Schur-Cohn type stability criterion
I Serban, M Najim - 2007 American Control Conference, 2007 - ieeexplore.ieee.org
In this paper a new multidimensional BIBO stability algorithm is proposed. The algorithm is
based on a necessary and sufficient condition for BIBO stability of n-dimensional filters. The …
based on a necessary and sufficient condition for BIBO stability of n-dimensional filters. The …
Multidimensional systems: BIBO stability test based on functional Schur coefficients
I Serban, M Najim - IEEE transactions on signal processing, 2007 - ieeexplore.ieee.org
This paper presents a multidimensional extension of the Schur-Cohn algorithm for testing
BIBO stability in N variables. This new method only needs a unique condition to be checked …
BIBO stability in N variables. This new method only needs a unique condition to be checked …
[PDF][PDF] Gray-level texture characterization based on a new adaptive nonlinear auto-regressive filter
Gray-level Texture Characterization Based on a New Adaptive Nonlinear Auto-Regressive Filter
Page 1 Electronic Letters on Computer Vision and Image Analysis 7(1):40-53, 2008 Gray-level …
Page 1 Electronic Letters on Computer Vision and Image Analysis 7(1):40-53, 2008 Gray-level …
An efficient affine projection algorithm for 2-D FIR adaptive filtering and linear prediction
GO Glentis - Signal processing, 2006 - Elsevier
In this paper, a fast affine projection algorithm (FAPA), for the two-dimensional (2-D)
adaptive linear filtering and prediction, is presented. The derivation of the proposed …
adaptive linear filtering and prediction, is presented. The derivation of the proposed …
A new Kalman filter based 2D AR model parameter estimation method
M Zeinali, M Shafiee - IETE Journal of Research, 2017 - Taylor & Francis
This paper presents a new method based on the Kalman filter (KF) for the two-dimensional
(2D) autoregressive model parameters estimation. For this purpose, the corresponding …
(2D) autoregressive model parameters estimation. For this purpose, the corresponding …
New efficient 2-D lattice structures for general autoregressive modeling of random fields
AH Kayran, E Camcioglu - IEEE Transactions on Signal …, 2014 - ieeexplore.ieee.org
In this paper, we present a new efficient general 2-D autoregressive (AR) lattice modeling
technique of random fields. Our proposed approach is capable of simultaneously providing …
technique of random fields. Our proposed approach is capable of simultaneously providing …
A new 2-D spectrum estimate using multichannel AR approach of 2-D fast RLS algorithms
In the framework of high resolution 2-D spectrum analysis, a new multichannel approach
called harmonic mean horizontal vertical (HMHV) is proposed. It is based on 2-D fast …
called harmonic mean horizontal vertical (HMHV) is proposed. It is based on 2-D fast …