Title:
Anti-Geometric Diffusion for Adaptive Thresholding and Segmentation
Anti-Geometric Diffusion for Adaptive Thresholding and Segmentation
Author(s)
Manay, Siddharth
Yezzi, Anthony
Yezzi, Anthony
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Abstract
In this paper, we present a novel adaptive thresholding technique
based upon an anisotropic diffusion model, which may be referred
to as the anti-geometric heat flow. In contrast to its more popular
counterparts (such as the geometric heat flow) which diffuse
parallel to image edges, this model diffuses perpendicular to image
edges, yielding surfaces which are naturally suited for adaptive
thresholding and segmentation. While it is possible to apply
this diffusion for a fixed amount of time to detect features, we
discuss how to detect features during the diffusion process, thus
avoiding much of the arbitrariness associated with choosing a single
scale (and makes the most notorious problem associated with
anisotropic diffusion methods, namely “when do you stop?” a
moot point). We will demonstrate the perfonnance of this technique
on both synthetic and real images, showing applications to
thresholding written text and segmentation of mehcal images and
scenes.
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Date Issued
2001-10
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Text
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Proceedings