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Effects of SO2 on the long-term corrosion behaviour of K452 superalloy

open access: yesnpj Materials Degradation
The corrosion behaviour of a nickel-based superalloy K452 in a simulated gas turbine blade service environment (Air+2 vol.% SO2) at 900 °C up to 2000 h was investigated by both microstructural characterization and the Molecular Dynamics (MD) calculations.
Ren Yu   +5 more
doaj   +1 more source
Some of the next articles are maybe not open access.

Texture classification using texture spectrum

Pattern Recognition, 1990
Abstract Pursuing our previous study where the Texture Spectrum method has been proposed for texture analysis, the purpose of this paper is to demonstrate the usefulness of the Texture Spectrum for texture classification. Promising results are obtained when applying the Texture Spectrum to classify four of Brodatz's natural images.
Dong-Chen He
exaly   +2 more sources

Texturing Fluids

IEEE Transactions on Visualization and Computer Graphics, 2007
We present a novel technique for synthesizing textures over dynamically changing fluid surfaces. We use both image textures as well as bump maps as example inputs. Image textures can enhance the rendering of the fluid by either imparting realistic appearance to it or by stylizing it, whereas bump maps enable the generation of complex micro-structures ...
Vivek Kwatra   +5 more
openaire   +2 more sources

Video Textures

Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, 2000
This paper introduces a new type of medium, called a video texture, which has qualities somewhere between those of a photograph and a video. A video texture provides a continuous infinitely varying stream of images. While the individual frames of a video texture may be repeated from time to time, the video sequence as a whole is never repeated exactly.
Arno Schödl   +3 more
openaire   +1 more source

Textures revisited

The Visual Computer, 2005
We describe texture generation methods for complex objects. Recently developed 3D scanning devices and high-resolution cameras can capture the complex geometry of an object and yield high-resolution images. However, generating a textured model from this input data is still a difficult problem.
Yamauchi, H.   +3 more
openaire   +2 more sources

Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization

Fuzzy Sets and Systems, 2007
An important problem that is necessary to face up to in texture characterization is that while the notion of texture is easy to grasp intuitively, it is extremely difficult to quantify. The Texture Spectrum methodology introduced by He and Wang [1990, Texture unit, texture spectrum and texture analysis, IEEE Trans.
Aina Barcelo   +2 more
openaire   +1 more source

Texture Laciness: The Texture Equivalent of Transparency?

Perception, 1996
Displays with overlapping squares of different textures were produced. In some texture combinations, the overlapping area appears to be a new texture. In other combinations, however, one texture is seen through the other as if it were inscribed on a transparent sheet and held in front of the other. This phenomenon can be called texture laciness.
T, Watanabe, P, Cavanagh
openaire   +2 more sources

Textural filters based on the texture spectrum

Pattern Recognition, 1991
Abstract Conventional digital filtering techniques, based on classical Fourier analysis (that is, low-pass, high-pass and band-pass), are widely used in digital image processing. Unsatisfaction may be encountered when applying these filters to texture analysis of images, where one needs some specific spatial filters which are able to transform an ...
Dong-Chen He, Li Wang 0002
openaire   +1 more source

Textural features corresponding to textural properties

IEEE Transactions on Systems, Man, and Cybernetics, 1989
Five properties of texture, namely, coarseness, contrast, business, complexity, and texture strength, are given conceptual definitions in terms of spatial changes in intensity. These conceptual definitions are then approximated in computational forms.
Moses Amadasun, Robert King
openaire   +1 more source

Texture features based on texture spectrum

Pattern Recognition, 1991
Abstract Texture is an important spatial feature useful for identifying objects or regions of interest in an image. This paper presents a new set of textural measures derived from the texture spectrum. The proposed features extract textural information of an image with a more complete respect of texture characteristics (in all the eight directions ...
Dong-Chen He, Li Wang 0002
openaire   +1 more source

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