in this article, zno and zno:mn nanoparticles prepared by reverse micelle method. the various crystalline properties of these nanoparticles such as size, d-spacing, strain, stress, dislocation density and texture coefficient have been calculated with the help of xrd spectrum. the xrd results indicated that the synthesized zno and zno:mn nanoparticles have a pure wurtzite (hexagonal phase) struc...

The crystallographic texture of Ti–29Nb–9Ta–10Zr alloy is studied after cold-rolling with different amounts of thickness reduction, up to 60%. The major texture components developed during cold-rolling were: γ-fibre components: {111}〈 〉, {111}〈 〉, {111}〈 〉 and {111}〈 〉; texture component: {112}〈 〉 and texture components: {001}〈 〉 and {010}〈001〉. Besides crystallographic texture the resulted mec...

In this report, we compare the performance of four texture synthesis algorithms on synthesizing regular and near-regular textures. Our results show that near-regular texture synthesis remains a challenging problem. This is because a near-regular texture demonstrates both global regularity and local randomness in its texture pattern. It is difficult to preserve both properties in the synthetic t...

Background and Objective: The quality of flat breads depends in part on the textural and structural properties of breads during storage. These properties are largely affected by flour quality. This research aimed at evaluating textural and structural properties of Lavash bread types during storage by different techniques, comparing these methods and determination of correlation between their re...

Early stages of vertebrate embryogenesis are characterized by a remarkable series of shape changes. The resulting morphological complexity is driven by molecular, cellular, and tissue-scale biophysical alterations. Operating at the cellular level, extracellular matrix (ECM) networks facilitate cell motility. At the tissue level, ECM networks provide material properties required to accommodate t...

This paper introduces a new classification scheme called “open-ended texture classification.” The standard approach for texture classification is to use a closed n-class classifier based on the Bayesian paradigm. These perform supervised classification, whereby all the texture classes have to be predefined. We propose a new texture classification scheme, one that does not require a complete set...

Texturing an animated fluid is a useful way to augment the visual complexity of pictures without increasing the simulation time. But texturing flowing fluids is a complex issue, as it creates conflicting requirements: we want to keep the texture properties (features, spectrum) while conforming to the underlying flow — which distorts the attached texture. In this paper, we present a new method f...

Providing efficient access to the huge amounts of existing medical imaging data is a highly relevant but challenging problem. In this paper, we present an effective method for content-based image retrieval (CBIR) of anomalies in medical imaging data, based on similarity of local 3D texture. During learning, a texture vocabulary is obtained from training data in an unsupervised fashion by extrac...