Texture Measures for Carpet Wear Assessment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modelling the spectrum of the fourier transform of the texture in the solar EIT images
Machine Graphics & Vision International Journal
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The paper discusses applicability of texture analysis methods to Extreme-Ultraviolet Imaging Telescope (EIT) images obtained from the SOHO mission, and in particular analyses of the solar texture by means of the Spatial Gray Level Dependence Matrices (SGLDMs). Based on the observations, a theoretical parametric model is proposed for the SGLDM. Subsequently, the Haralick features are computed directly for the time sequence of preprocessed images, as well as and for the proposed model of the SGLDM. Time evolution of model parameters as well as measures of goodness fit of the model to image data for the period of one year is presented. The results obtained confirm the correctness of the model. In view of the simplicity of the model, it gives remarkably good results. A new method for solar limb extraction is described in the Appendix. The method is superior to those presented in the literature since it uses no external parameters, such as thresholds.