@@ -217,8 +217,8 @@ This utility has a number of useful options for controlling the segmentation:
*`--mask`: Provide a B&W image where white indicates the region of the volume to consider for edge detection. Any canny edges in the slices that overlap with the black portion of the mask will be ignored.
The output of this process, `canny_raw.ply`, is a dense point set and requires further processing in Meshlab:
1.Manually select and delete points that are not on the desired surface.
2.Run `Filters/Point Set/Point Cloud Simplification` to reduce the point set to a reasonable size. If the surface is very smooth, use fewer points. Usually, within the order of 10k to 100k points typically retains enough detail while significantly speeding up later steps.
1.Run `Filters/Point Set/Point Cloud Simplification` to reduce the point set to a reasonable size. If the surface is very smooth, use fewer points. Usually, within the order of 10k to 100k points typically retains enough detail while significantly speeding up later steps. Save this point set with the name: `01_simplified.ply`.
2.Manually select and delete points that are not on the desired surface.
3. Run `Filters/Selection/Select Outliers` and then delete the selected vertices. This cleans up groups of points that are not on the surface. It is recommended to enable the Preview option while tuning the selection options.
4. Run `Filters/Point Set/Compute normals for point sets` to estimate surface normals for the point set. For dense, noisy point sets, adjust the `Neighbour num` value to a larger value, typically no more than 100. Save this point set to your working directory with the name: `canny_cleaned.ply`
5. Run `Filters/Remeshing, Simplification and Reconstruction/Surface Reconstruction: Screened Poisson` to triangulate the surface. This filter uses the surface normals generated in the previous step to fit a continuous surface to the point set. Increase the Reconstruction depth to make the surface fit more closely to the original point set at the expense of more faces and a rougher surface. Typically, use a reconstruction depth in the range of 8-10. Save this mesh to your working directory with the name: `canny_poisson.ply`
