17 Image models

Publisher Summary This chapter discusses the models of spatial intensity variation in homogeneous images — that is, the images that do not exhibit any macrostructure. The lack of macrostructure results when a uniformly structured scene is photographed at a coarse resolution, the consequent dense packing of structure giving rise to image texture. Traditionally, image models have been classified as statistical or structural. The statistical models involve description of image statistics such as autocorrelation, while the structural approach specifies spatial primitives and placement rules for laying these primitives out in the plane. It should be noted that if the rules in the structural approach were not statistical, the resulting models would be too regular to be of interest. If a statistical model cannot reveal the basic structure of an image, it is not powerful enough to be of much use. The pixel-based and region-based models are discussed in the chapter and it reviews many of the studies of image modeling conducted through 1978.

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