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Abstract

Data from multiple image sources are processed with a memory storing a library of data catalogs, each corresponding to one of the image sources. The catalogs have entries corresponding to the images. Each catalog entry has signal values specifying how to (1) generate an Analysis Image corresponding to the source image, (2) generate binary images from the Analysis Image, (3) model the binary images with fractal mathematics, and (4) generate an output signal related to the Original Image. The Analysis Image contains transformed pixel data in which pixels correspond spatially to the Original Image but in which gray-scale planes are more easily segmented and modeled. Binary Images conforming to standards specified in the catalog are constructed as segments of gray-scale planes within the Analysis Image. Binary models are formed with Hutchinson operators suitably constrained to force finite approximations to attractors to conform to standards specified in the catalog. Reversible output signals include Original Image representations having lower prediction-error entropy; irreversible output signals include representations of the Original Image suitable for feature analysis.

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First Claim