Vectorized image segmentation via trixel agglomeration

Image analysis – Color image processing – Image segmentation using color

Reexamination Certificate

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C382S173000, C382S197000, C382S199000, C382S241000, C358S538000

Reexamination Certificate

active

07127104

ABSTRACT:
A computer implemented method transforms an image comprised of pixels into a vectorized image specified by a plurality of polygons that can be subsequently used to aid in image processing and understanding. The pixelated image is processed to extract edge pixels that separate different colors and a constrained Delaunay triangulation of the edge pixels forms a plurality of triangles having edges that cover the pixelated image. A color for each one of the plurality of triangles is determined from the color pixels within each triangle. A filter is formed with a set of grouping rules related to features of the pixelated image and applied to the plurality of triangle edges to merge adjacent triangles consistent with the filter into polygons having a plurality of vertices. The pixelated image may be then reformed into an array of the polygons, that can be represented collectively and efficiently by standard vector image.

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Jonathan Richard Shewchuk, “Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator,” School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, irs@cmu.edu., pp. 1-10.

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