Abstract:
Geometric models that represent the features in a grey-scale image
allow for alternative visualizations of the features. These
alternatives can lead to a greater understanding of the extents
and interrelationships of the features in the image.
We present a technique that extracts the geometric nature of
a feature by constraining a known geometric model to conform
to the characteristics of the feature. The constraints embody
local properties of simple polygons and the nature of the
relationship between noise and the features in the image. By
minimizing these constraints we are able to deform our initial
model to fit the feature.