The paper discusses today's techniques of simulating realistic images of natural textures. These techniques account for deterministic spatial structures of signal relationships in a given training sample and allow for random deviations of signals in the simulated texture. When simulation is based on random permutations of image tiles, these latter can be found for some periodic regular textures...

In this paper, we present an optical model that simulates the light trapping and scattering effects of a paraboloid texture surface first time. This model was experimentally verified by measuring the reflectance values of the periodically textured silicon (Si) surface with the shape of a paraboloid under different conditions. A paraboloid texture surface was obtained by electrochemical etching ...

An accurate and efficient algorithm, closely related to the level set method, is presented for the simulation of Mullins’s model of grain growth with arbitrarily prescribed surface energies. The implicit representation of interfaces allows for seamless transitions through topological changes. Well-resolved large-scale simulations are presented, beginning with over 650,000 grains in two dimensio...

Natural images can be seen as patchworks of different textures for which local image statistics are roughly stationary within confined regions but otherwise can be highly diverse. In order to model the natural variety of textures, we sampled 64×64 patches of homogeneous textures from a large image database and described each patch by a set of texture parameters obtained with a popular texture a...

A novel fast algorithm for realistic colour texture synthesis is introduced. The algorithm starts with spectral factorization of an input colour texture image using the Karhunen-Loeve expansion. Single orthogonal monospectral components are further decomposed into a multi-resolution grid and each resolution data are independently mod-eled by their dedicated Gaussian Markov random eld model (GMR...

In modern textile manufacturing industries, the function of human eyes to detect disturbances in the production processes which yield defective products is switched to cameras. The camera images are analyzed with various methods to detect these disturbances automatically. There are three parts of texture analysis which are going to be studied here, i.e., image smoothing, texture synthesis and d...

Texture analysis of remote sensing images based on classification of area units represented in image segments is usually more accurate than operating on an individual pixel basis. In this paper we suggest a two-step procedure to segment texture patterns in remotely sensed data. An image is first classified based on texture analysis using a multi-parameter and multi-scale technique. The intermed...

Two solution-based methods, metallo-organic decomposition and sol–gel processes, were used to study the effects of precursor solution type on the microstructure evolution and texture development of oriented PZT films. Microstructure development and perovskite content are strongly dependent on the heating rate. Fast heating rate forms a dense fine-grained microstructure with (111) orientation. I...

Julesz introduced the concept of statistically defined textures and their perceptual discrimination. Julesz showed that discrimination was possible with statistics equated to third-order, specifying fourth-order textures. Klein and Tyler offered a variety of paradigms suggesting that fourth order might be the limit on human texture processing. To go beyond this limit, new texture paradigms are ...

Understanding friction between material pairs is very crucial when utilizing the materials in various applications, including mechanical and biological systems. In the present investigation, efforts were made to study the influence of surface texture and roughness on friction and transfer film formation during sliding of Ultra High Molecular Weight Polyethylene (UHMWPE) pins against steel plate...