%0 Generic
%T Multilocal Creaseness Measure
%A Sergio Vera
%A Debora Gil
%A Antonio Lopez
%A Miguel Angel Gonzalez Ballester
%A Alma IT Systems
%D 2012
%G english
%F Sergio Vera2012
%O IAM;ADAS;
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1840), last updated on Tue, 25 Feb 2020 13:07:58 +0100
%X 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.
%K Ridges
%K Valley
%K Creaseness
%K Structure Tensor
%K Skeleton
%K
%U http://hdl.handle.net/10380/3338
%U http://refbase.cvc.uab.es/files/VGL2012.pdf