Texture features for bulk rock material grain boundary segmentation

BRIEF Features for Texture Segmentation

Unsupervised Texture Segmentation: Comparison of Texture Features

Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture. This paper aims at comparing texture features based on DFT (Discrete Fourier Transform) with ones based on Gabor wavelets for unsupervised image segmentation. The comparison is r...

Texture Development Dependence on Grain Boundary Properties

The motivation for this work is to explain the development of special textures during recrystallization such as the cube component, {001}<100> in fcc metals. Monte Carlo simulation is used with two different mobility and energy functions. The energy function has little influence on texture development whereas the mobility function has a strong influence. A mobility function with a single broad ...

Wold features for unsupervised texture segmentation

An efficient texture representation for unsupervised segmentation is addressed based on the concept of Wold decomposition. Textures are described by the wavelet tuned to various scales and rotations to describe its deterministic component, and by the autogressive model to describe its indeterministic component. The wavelet features and the AR parameters capturing the perceptual properties, "per...

Magnetotransport properties of a single grain boundary in a bulk La–Ca–Mn–O material

Besides the ‘‘intrinsic’’ colossal magnetoresistance effect observed in single crystals, the polycrystalline manganate compounds also exhibit an ‘‘extrinsic’’ magnetoresistance related to the presence of grain boundaries. We report electrical transport and magnetic measurements carried out on a bigrain sample extracted from a floating zone method-grown rod of calcium doped lanthanum manganate. ...