Texture is an intuitive concept Every child knows that leopards have spots but tigers have stripes that curly hair looks di erent from straight hair etc In all these examples there are variations of intensity and color which form certain repeated patterns called visual texture The patterns can be the result of physical surface properties such as roughness or oriented strands which often have a ...

The major aim of this paper consists of a comprehensive quantitative evaluation of adaptive texture descriptors when integrated into an unsupervised image segmentation framework. The techniques involved in this evaluation are: the standard and rotation invariant Local Binary Pattern (LBP) operators, multichannel texture decomposition based on Gabor filters and a recently proposed technique that...

Traditionally, texture coordinates have been generated based solely on the model’s geometry, often even before a model’s textures have been created. With the arrival of new technologies, such as 3D paint programs, weaknesses of a static optimization pre-process are becoming apparent. These weaknesses arise from constructing a parameterization based solely on the model’s geometry, ignoring the f...

In the present work, nano/ultrafine structured Al/Brass composite was produced by accumulative roll bonding (ARB) up to eight cycles. The evolution of grain refinement and deformation texture and their effect on the mechanical properties were investigated. It was observed that by increasing the ARB cycles, due to the difference in flow properties of the metal constituents, brass layers necked, ...

The essence of image texture is typically understood by two aspects. First, within a texture-pattern there is a significant variation in intensity values between nearby pixels. Second, texture is a homogenous property at some spatial scale larger than the spatial resolution of the image. Motivated by the essential aspects of image texture, this paper proposes a novel methodology that combines t...