The concept of texture is one of the most important approaches used to describe and identify objects or regions of an image with somewhat ordered aspect.
Leard, “AR models and bidimensional discrete moments applied to texture modeling and recognition,” Pattern. Recognition, vol. 26, no, 5, pp. 721-726, 1993 ...
The main idea is to model the texture as a dynamic spatial series characterized by a recursive equation and second order statistics. ... ... Indeed, 2D ARMA ...
Missing: bidimensional moments
Texture segmentation method by using two-dimensional AR model and ... AR models and bidimensional discrete moments applied to texture modelling and recognition.
Abstract. In this study autoregressive model based on Bayesian approach is proposed for texture classification. Based on auto correlation.
Missing: bidimensional moments
Dec 2, 2021 · Spatial autoregressive (AR) models have been extensively used to represent texture images in machine learning applications.
Missing: bidimensional moments
Sep 19, 2022 · This model used discrete orthogonal moments and superpixels to measure local and global distortions, respectively. The above works are all ...
A practical problem in computer graphics is that of representing a tex- tured surface at arbitrary scales. I consider the underlying mathematical.
The estimated parameters of the image models are used as textural feature descriptors. Examples of such model-based texture descriptors are autoregressive (AR).
