Find Endpoints/Tips

Find endpoints of a skeletonized image.

plantcv.morphology.find_tips(skel_img, mask=None, label=None)

returns Binary mask of endpoints

  • Parameters:

    • skel_img - Skeleton image (output from plantcv.morphology.skeletonize)
    • mask - Binary mask used for debugging (optional). If provided the debug image will be overlaid on the mask.
    • label - Optional label parameter, modifies the variable name of observations recorded. (default = pcv.params.sample_label)
  • Context:

    • Identifies endpoints/tips in a skeleton image
  • Output data stored: Data ('tips') automatically gets stored to the Outputs class when this function is ran. All data stored in the Outputs class gets printed out while running pcv.outputs.save_results but these data can always get accessed during a workflow. For more detail about data output see Summary of Output Observations

Skeleton Image


from plantcv import plantcv as pcv

# Set global debug behavior to None (default), "print" (to file), 
# or "plot" (Jupyter Notebooks or X11)
pcv.params.debug = "plot"
# Optionally, set a sample label name
pcv.params.sample_label = "plant"

# Adjust line thickness with the global line thickness parameter (default = 5),
# and provide binary mask of the plant for debugging. NOTE: the image returned
# will be exactly the same, but the debugging image will look different. 
pcv.params.line_thickness = 3

tips_img = pcv.morphology.find_tips(skel_img=skeleton)
tips_img = pcv.morphology.find_tips(skel_img=skeleton, mask=plant_mask, label=rep1)

Tip Points Image (image getting returned)


Debug Image without Mask


Debug Image with Mask


Source Code: Here