Multilocal Creaseness Measure
Vera, Sergio, Gil, Debora, López, Antonio, González, Miguel A.
Alma IT Systems
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3338
New: Prefer using the following doi: https://doi.org/10.54294/ynt3ar
Published in The Insight Journal - 2012 January-December.
Submitted by Sergio Vera on 2012-01-10 07:26:54.
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.
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