Gibbs random field models describe image textures in terms of geometric structure and energy of pixel interactions. The interaction means statistical ...
Gibbs random field models describe image textures in terms of geometric structure and energy of pixel interactions. The interaction means statistical ...
Apr 7, 2002 · Gibbs random field models describe image textures in terms of geometric structure and energy of pixel interactions.
It is shown that due to scale/orientation robustness, the MBIM allows to partition a given training sample into tiles acting as structural elements, ...
Pass image through filter bank. • Compile histogram of intensities output by each filter. • To synthesize new texture: – Start with random noise image.
Abstract. Texture variation on real-world objects often correlates with underlying geometric characteristics and creates a visually rich appearance.
The successful synthesis of textures motivates the use of co-occurrences as features for texture classification. A new algorithm for classifying textures based ...
In this paper, we present an automatic method which can trans- fer geometric textures from one object to another, and can apply.
Texture describes appearance that looks homogeneous at large scales but random at small scales and has the com- monly accepted characteristics of locality, ...
The measures of similarity at all points in the parent texture, along with a random variable, are used to generate the next pixel value in the synthesized image ...
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