Segments
Segmentation involves mapping sheets of papyrus inside a 3D X-ray scroll volume or fragment volume.
The resulting 3D structure is called a “mesh”, capturing the complex shape of the papyrus sheet.
The mesh is used to isolate and extract a thin "surface volume" of the mapped papyrus surface in micro-CT. The surface volume is flattened into a stack of 65 image files (layers), where 32.tif is nominally the papyrus surface. 64.tif is “atop” of the surface and 00.tif is “below”.
The flattened surface volume can be used directly to look for ink, either by visual inspection or with machine learning tools.
Our Segmentation Team has been mapping select regions of the scrolls. The community has made this a significantly more automated process with improved tools, but it still involves considerable human input.
You can view the meshes of our Scroll 1 segments in Volume Viewer (hosted here) and Segment Viewer (hosted here).
For more technical details about how the segmentation team operates, check out this doc: The Segmenter’s Guide to Volume Cartographer.
Data format
You can find all segment data on the data server in the /full-scrolls/
folder.
- Scroll 1 (PHerc. Paris. 4):
/full-scrolls/Scroll1/PHercParis4.volpkg/paths/
- Scroll 2 (PHerc. Paris. 3):
/full-scrolls/Scroll2/PHercParis3.volpkg/paths/
- Scroll 3 (PHerc. 332):
/full-scrolls/Scroll3/PHerc332.volpkg/paths/
- Scroll 4 (PHerc. 1667):
/full-scrolls/Scroll4/PHerc1667.volpkg/paths/
There are many different types of files provided in each paths/<id>/
folder:
meta.json
: Metadata of the segment.layers/{00-64}.tif
: Surface volume of 65 layers.- This is most useful for detecting ink.
<id>.tif
: Texture of the surrounding voxels (the maximum of a few of the surrounding layers).<id>.obj
: Mesh of the segment.<id>_points.obj
: Pointcloud.<id>.ppm
: Per-pixel map, a custom data format mapping points between the surface volume and the original 3D volume of the scroll.pointset.vcps
: Pointset of a segment. More information hereauthor.txt
: Name of the author of the segment.area_cm2.txt
: Total surface area, in cm2.