| 摘要 |
Disclosed is a method for pre-selecting pixels in data structures which demonstrate significant intensity and/or color gradients with respect to surrounding pixels, (tyically the result of depicted-object-edge-effects in the data structure), in "X" and/or "Y" and/or "Z" direction(s), and utilizing the pre-selected pixels in data structure characterizing spatial first and second central moment calculations, to the end that data structure characterizing vector(s) are constructed. Preferred characterizing vector(s) consist of typically orthogonally specific frequency integer counts of said pre-selected pixels, as well as spatial data structure first central monent value(s), and non-degenerate parameter(s) determined from Eigenvalues derived from second central moments, all spatially dependent values being calculated utilizing the pre-selected pixels with data structure intensity and/or color gradients in "X" and/or "Y" and/or "Z" direction(s), within one or more range(s). Also disclosed, in combination with the pixel pre-selection method, is methodology for enabling easy characterization, indexing, storage and retrieval of multi-dimensional data structures involving use of a translation, rotation and scaling invariant index which results from concatenating a series of Eigenvalue calculation mediated index elements determined at a plurality of hierarchical data depth levels.
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