Sentence examples for methods for texture from inspiring English sources

Various aspects and methods for texture analysis have been reviewed in [13, 14].

There are four different methods for texture analysis in the literature: statistical, structural, model-based and transform-based methods.

Soulard and Carré have developed an efficient method for texture classification, thanks to coherent multiscale analysis brought by the magnitude and phase of the quaternionic wavelet transform [13].

Furthermore, Horiuchi [9] proposed a method for texture colorization which defines pixel similarity based on their Euclidean distance and difference in luminance values.

Spatial gray-level dependence matrices (SGLDMs), or co-occurrence matrices, are a well-known method for texture analysis [ 28, 29].

Thus two distinct function oriented methods for surface texture evaluation are technically correlated by mutual exploitation.

As far as we know, there are no proposals to handle this kind of videos since in general, previous methods for dynamic texture synthesis assume some spatial homogeneity.

The number of methods for dynamic texture synthesis that have been proposed can be separated into two groups: parametric and non-parametric.

Figure 15 Evaluating effect of noise on the proposed method for tracking texture object in texture background for different SNR.

In this paper, we propose a Bayesian-based nonlinear dynamic texture modeling method for dynamic texture synthesis.

A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed.