Vectorized image segmentation via trixel agglomeration

Lakshman Prasad

doi:10.1016/j.patcog.2005.10.014

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Vectorized image segmentation via trixel agglomeration

2006-04-01

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Lakshman Prasad

DOI：10.1016/j.patcog.2005.10.014

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Abstract

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We present a broad algorithmic framework for transforming an image comprised of pixels into a vectorized image segmented into polygons that can be subsequently used in image analysis, understanding, and high-level representation. We introduce a new entity-the trixel-that is an adaptive, local, triangular unit of region-contour Picture description. Adjacent trixels are merged based on certain elementary heuristic criteria of perceptual organization, modeled as geometric filters on trixel edges. The connected components of a trixel grouping graph, with vertices representing trixels and edges between vertices corresponding to merged adjacent trixels, yield polygons that segment the image. Published by Elsevier Ltd on behalf of Pattern Recognition Society.

Keywords:

image segmentation

Delaunay triangulation

vectorization

perceptual grouping

trixel

polygonal decomposition

region and boundary duality

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