There are generally three basic problems in texture processing:
Texture segmentation divides the picture into different parts, each with similar texture problems inside.
Texture synthesis looks for ways to construct large texture regions using small sample images.
The texture recovery shape includes the direction of the surface and the shape of the surface restored by the image texture.
First, the texture representation
The texture of an image is generally composed of organized rules in some very regular sub-elements.
1. Using the filter library to extract the image structure
2. Use the statistical representation of the filter output to represent the texture
Second, the use of directional pyramid analysis (and synthesis)
Laplacian pyramid
2. Filters in the spatial frequency domain
3. Pyramid with direction
Third, the application: synthetic texture to draw
Uniformity
2. Sampling with local model
Fourth, get the shape from the texture
The same piece of texture looks very different from the front and tangential angles because the perspective reduction effect causes the texels (including the spacing between them) to shrink more in a certain direction than in the other direction.
1. The planar shape obtained from the texture
Regular GFCI Receptacle Outlet
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