Directional relationships to a reference object: a quantitative approach based on force fields

Authors:
Pascal Matsakis;JingBo Ni;Melanie Veltman
Affiliations:
Computing and Information Science, University of Guelph, Canada;Computing and Information Science, University of Guelph, Canada;Computing and Information Science, University of Guelph, Canada
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

A directional map (or spatial template, fuzzy landscape) is an image where the value of each pixel represents the degree to which the pixel satisfies some directional relationship (e.g., right, left, above, below) to some reference object (i.e., a given set of pixels). There exists a simple quantitative model of such relationships, and the computation of directional maps is usually based on algorithmic implementations of this model. We show here that the model has important flaws, and we respond to the issue with a new, promising approach: all directional maps induced by the reference object are generated from a force field that the object (which is seen as a physical entity) creates around itself. Preliminary experiments illustrate and show the interest of the approach.