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20092022
most citedGraph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images

24 citations · 47 across the 8 of their papers we have counts for

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math.AP2017★ 6 cited

An MBO scheme for minimizing the graph Ohta-Kawasaki functional

Yves van Gennip

We study a graph based version of the Ohta-Kawasaki functional, which was originally introduced in a continuum setting to model pattern formation in diblock copolymer melts and has…

math.AP2017

A Max-Cut approximation using a graph based MBO scheme

Blaine Keetch, Yves van Gennip

The Max-Cut problem is a well known combinatorial optimization problem. In this paper we describe a fast approximation method. Given a graph G, we want to find a cut whose size is…

math.AP2016★ 24 cited

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images

Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb +2

We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on t…

math.AP2009

Deblurring of One Dimensional Bar Codes via Total Variation Energy Minimisation

Rustum Choksi, Yves van Gennip

Using total variation based energy minimisation we address the recovery of a blurred (convoluted) one dimensional (1D) barcode. We consider functionals defined over all possible ba…

math.AP2009

The H^{-1}-norm of tubular neighbourhoods of curves

Yves van Gennip, Mark A. Peletier

We study the H^{-1}-norm of the function 1 on tubular neighbourhoods of curves in R^2. We take the limit of small thickness epsilon, and we prove two different asymptotic results.…