@Article{SergioVera2012,
author="Sergio Vera
and Debora Gil
and Antonio Lopez
and Miguel Angel Gonzalez Ballester
and {Alma IT Systems}",
title="Multilocal Creaseness Measure",
year="2012",
optkeywords="Ridges",
optkeywords="Valley",
optkeywords="Creaseness",
optkeywords="Structure Tensor",
optkeywords="Skeleton",
optkeywords="",
abstract="This document describes the implementation using the Insight Toolkit of an algorithm for detecting creases (ridges and valleys) in N-dimensional images, based on the Local Structure Tensor of the image. In addition to the filter used to calculate the creaseness image, a filter for the computation of the structure tensor is also included in this submission.",
optnote="IAM;ADAS;",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1840), last updated on Tue, 25 Feb 2020 13:07:58 +0100",
opturl="http://hdl.handle.net/10380/3338",
file=":http://refbase.cvc.uab.es/files/VGL2012.pdf:PDF",
language="english"
}