crispy.grid_ridge

Functions for gridding and processing CRISPy results on reference images.

This module provides tools to map CRISPy ridge detection results onto a reference image grid, clean and refine the skeleton structures, and handle input and output operations. Key functionalities include skeleton gridding, labeling, pruning, and advanced 2D/3D structure manipulation for astrophysical data.

Functions

clean_grid	Process and grid CRISPy coordinates onto a reference image, labeling and cleaning skeleton structures.
clean_grid_ppv	Process and grid CRISPy coordinates in PPV space onto a reference image, labeling and cleaning skeleton structures.
get_2d_length	Calculate the sky-projected length of a 3D skeleton.
grid_skel	Map raw CRISPy results onto a reference image grid and save the gridded results.
grid_skeleton	Map CRISPy skeleton coordinates onto a reference image grid.
label_ridge	Label unconnected ridges using DBSCAN clustering.
make_skeleton	Map CRISPy skeleton coordinates onto a reference grid and clean the skeleton.
read_table	Read filament skeleton data from a file.
uniq_per_pix	Reduce a list of ridge coordinates to one unique point per pixel.
write_skel	Write a gridded image to a FITS file.