Detecting the spatial structure of natural textures based on shape analysis

From a structural point of view texture is considered to be composed of subpatterns which occur repeatedly according to certain placement rules. To locate the subpatterns and analyze the spatial structure of the subpatterns is an essential step toward structural texture analysis. In this paper a method that first locates the subpatterns of a texture and then extracts its spatial structure is introduced. After preprocessing, a texture image is first thresholded into a binary image. Shape analysis and clustering techniques are then applied to the connected regions in the binary image to locate the subpatterns. The placement rule of the subpatterns is found by a 2-D neighbor distribution analysis. For regular textures the placement rule is represented by a set of parallelogram model parameters. A representing subpattern is extracted based on the placement rule for further analysis. A texture synthesis procedure is also proposed in order to examine the performance of this approach by the analysis-by-synthesis method.

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