Ieee Transactions on Pattern Analysis and Machine Intelligence ,
نویسندگان
چکیده
A multiscale morphological dilation-erosion smoothing operation and its associated scale-space expansion for multidimensional signals are proposed. Properties of this smoothing operation are developed and, in particular a scale-space monotonic property for signal extrema is demonstrated. Scale-space ngerprints from this approach have advantages over Gaussian scale-space ngerprints in that they: are deened for negative values of the scale parameter; have monotonic properties in two and higher dimensions; do not cause features to be shifted by the smoothing; and allow eecient computation. The application of reduced multiscale dilation-erosion ngerprints to the surface matching of terrain is demonstrated.
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