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Scanning electron micrographs helps to establish a logical relationship among methods employed for synthesis, texture of materials and their effect on magnetic properties.
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A large number of segmentation comparison experiments using the synthesis color-texture images and real natural scene images verify the superiorities of our proposed texture descriptor and color-texture cosegmentation method.
The STTS function is a kind of texture synthesis algorithm and differs from the conventional texture synthesis which applies the spatial domain only.
Texture synthesis is a useful alternative way to create arbitrarily large textures [1].
Texture synthesis methods (inpainting methods) aim to fill these disocclusions by producing plausible texture content.
Comparatively to the static texture synthesis, given a finite video sample of a dynamic texture, a synthesis method must create a new video sequence which looks perceptually similar to the input in appearance and motion.
The virtual eyes would need to swivel and the eyelids blink unpredictably, which can be accomplished with a technique called texture synthesis.
Correction is fundamental in deterministic texture synthesis.
Texture synthesis methods, in these cases, should perform better.
Most texture synthesis research has been focused on the enlargement of static textures.
Chroma components are restored using a simple texture synthesis technique [20].
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