From bd6cfda59e629e6d77fa985fac648d9ecaecc387 Mon Sep 17 00:00:00 2001 From: Jane Tournois Date: Tue, 26 Nov 2024 12:09:03 +0100 Subject: [PATCH] Apply suggestions from Andreas' review Co-authored-by: Andreas Fabri --- _posts/2024-12-01-mesh3-improvements.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/_posts/2024-12-01-mesh3-improvements.md b/_posts/2024-12-01-mesh3-improvements.md index 55f87dd5f..dd8d66bf7 100644 --- a/_posts/2024-12-01-mesh3-improvements.md +++ b/_posts/2024-12-01-mesh3-improvements.md @@ -13,10 +13,10 @@ tags: [""]

Introduced in CGAL 3.5, the package 3D Mesh Generation -is designed to generate a isotropic simplicial meshes discretizing 3D domains. -Since then, multiple improvements in mesh quality, performances, and versatility have been made available in CGAL. -Lately, CGAL authors have focused more on the quality of the output mesh, the ability of the -mesh generation algorithm to represent the input surface in a more accurate way, for a wider range of input data types. +enables the generation of isotropic simplicial meshes discretizing 3D domains. +Since then, multiple improvements in mesh quality, performance, and versatility have been made available in CGAL. +Lately, we have focused more on the quality of the output mesh, the ability of the +mesh generation algorithm to represent the input surface in a more accurate way, and for a wider range of input data types.


@@ -27,7 +27,7 @@ and a new approximation error criterion for polyline features.


-

Triple lines from labeled images

+

Triple Lines from Labeled Images

CGAL's tetrahedral mesh generation algorithm is able to compute tetrahedral meshes from 3D segmented images. For all types of inputs, detection and construction of one-dimensional features must be done a priori for the @@ -67,7 +67,7 @@ are added to the feature graph of the domain for feature protection.

When a segmented image is given as input for tetrahedral mesh generation, the generated mesh surface sometimes sticks too closely to the voxels surface, causing an aliasing effect. A solution to generate -a smooth and accurate output surface was described by Stalling et al in +a smooth and accurate output surface was described by Stalling et al. in Stalling, D., Zöckler, M., Sander, O., & Hege, H. C. (1998), Weighted labels for 3D image segmentation. It consists in generating a second input image, made of integer coefficients called weights, and use those weights to define