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All the EEA exhibited scale-invariant spatial clustering.
In Refs. [15, 16] a scale-invariant expression (4).
Fig. 1 Structural states as scale-invariant features.
Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints.
Such a framework allows for explicit, scale-invariant visualization and analysis of this type of data.
It usually constructs rotation-invariant and scale-invariant features based on shape, texture, and geometric features.
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Thus, the scale invariant property is fit for achieving brightness invariance in color segmentation.
scale invariant feature transform.
uniform robust scale invariant transform.
All terms are scale invariant.
Standardization (statistical normalization) makes estimators shift and scale invariant.
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