Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for analysis manipulation spectrum of This paper employs the Gaussian–Laplacian to separately treat different frequency bands texture. First, we generate three images corresponding levels input capture intrinsic details. Then, aggregate features e...

In texture classification modeling the full joint probability distribution of features is of questionable value. This paper demonstrates that marginal distributions of filter responses and marginal conditional distributions of intensity values over small neighborhoods are adequate to classify textures and can outperform methods using the joint distribution. The use of the Earth Mover’s Distance...

We investigate the use of the standard morphological texture characterisation methods, the granulometry and the variogram, in the task of texture classification. These methods are applied to both colour and greyscale texture images. We also introduce a method for minimising the effect of different illumination conditions and show that its use leads to improved classification. The classification...