Visual Motif Patterns in Separation Spaces

Abstract

This article introduces descriptive separation spaces useful in the discovery of what are known as motif patterns.
The proposed approach presents the separation axioms in terms of descriptive proximities. Asymmetries arise naturally
in the form of the separation of neighbourhoods of descriptively distinct points in what are known as Leader
uniformtopological spaces. A practical application of the proposed approach is given in terms of visual motif patterns,
identification of nearness structures and pattern stability analysis in digital images.