Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension

In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since it allows us to define a local thickness distribution. The proposed algorithm can be defined in arbitrary dimension thanks to the existing techniques to compute the discrete power diagram.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: David Coeurjolly
• Keywords: Arbitrary Dimension Thanks, Computer Vision, Euclidean Opening Function, ICPR 2010, Local Thickness Distribution