Computing the Eccentricity Transform of a Polygonal Shape

نویسندگان

  • Walter G. Kropatsch
  • Adrian Ion
  • Samuel Peltier
چکیده

The eccentricity transform associates to each point of a shape the distance to the point farthest away from it. The transform is defined in any dimension, for open and closed manyfolds, is robust to Salt & Pepper noise, and is quasi-invariant to articulated motion. This paper presents and algorithm to efficiently compute the eccentricity transform of a polygonal shape with or without holes. In particular, based on existing and new properties, we provide an algorithm to decompose a polygon using parallel steps, and use the result to derive the eccentricity value of any point. keywords: eccentricity transform, distance transform, polygon.

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تاریخ انتشار 2007