Vectorized image segmentation via trixel agglomeration
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 entitythe trixelthat 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.
vectorization image segmentation trixel delaunay triangulation perceptual grouping polygonal decomposition region and boundary duality