Abstract: The authors propose a major modification to the circular symmetric autoregressive random (CSAR) model by rendering the model rotationally ...
This paper proposes a major modification to the CSAR to render the model rotational invariant under all configurations of pixel implementation. It is based on ...
Results obtained from the proposed Circular Area Autoregressive. (CAAR) model offer better consistency over that of the CSAR model for non-square pixel images.
Results obtained from the proposed circular area autoregressive (CAAR) model offer better consistency than that of the CSAR model for nonsquare pixel images ...
The use of autoregressive models in textual analysis holds great potential. Cou- pling the technique to a circular neighbourhood set imparts a rotational ...
In this paper, we use a two-dimensional (2-D) AR model for texture description. The coefficients of the AR model as the parameters can thus be used to ...
An identification approach for 2-D autoregressive models in ...
www.sciencedirect.com › article › pii
A technique for identification of the autoregressive components is developed to describe textural regions of digital images by a general class of ...
Texture analysis methodologies for magnetic resonance imaging - PMC
www.ncbi.nlm.nih.gov › PMC3181797
Methods for the analysis of digital-image texture are reviewed. The functions of MaZda, a computer program for quantitative texture analysis.
Aug 24, 2024 · In this paper, a novel technique is proposed based on a Family of Full Range Autoregressive (FRAR) models to extract edges in 2D monochrome ...
The model-based method is used for texture modeling, and the most popular ones are Autoregressive (AR) method, Markov Square theory, Gibbs RMF, Hidden Markov.