July 1987 Texture information can be used as a basis for segmenting an image into regions.
Image texture is basically a local area phenomenon that is sensitive to the size of the area.
What appears as a non-textured area at one resolution level can appear as a region with distinctive texture at a different resolution. The performance of texture segmentation schemes is often highly dependent on the size of the local area operator used to generate the classification features. The size of the operators has a major impact on the performance near the boundaries between texture regions. Features based on large operators perform better overall but are highly affected by the mixing of class statistics when the operator overlaps more than texture, such as near the texture boundaries. Features based on small operators show poorer overall performance but are more likely to maintain an acceptable performance level in the boundary areas.