Multilocal Creaseness Measure

Vera, Sergio1*,Gil, Debora,López, Antonio,González, Miguel A.
1.Alma IT Systems
Abstract
Multilocal Creaseness Measure

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.

Keywords

Structure TensorSkeletonCreasenessValleyRidges
Manuscript
Source Code and Data

Source Code and Data

SourceIJMacros.txt3.4 KBCmakeLists.txt866 BREADMEImageCompare.cxx8 KBdistmap2.png9.1 KBdistmapRidgesRef.mhd292 BitkMultiLocalCreasenessImageFilter.h3.7 KBdistmapRidgesRef.raw680.8 KBitkMultiLocalCreasenessImageFilter.txx8.9 KBitkStructureTensorImageFilter.h5.2 KBitkStructureTensorImageFilter.txx7.8 KBitkSymmetricEigenVectorAnalysisImageFilter.h5.8 KBmain.cxx1.4 KB

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