Filters out dark noise from an image.
- gray_img - Grayscale or binary image data
- kernel - Optional neighborhood, expressed as an array of 1's and 0's. See the kernel making function. If None, use cross-shaped structuring element.
- Used to reduce image noise, specifically small dark spots (i.e. "pepper").
- Example use:
- See below
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" # Apply closing filtered_img = pcv.closing(gray_img=gray_img)
In addition to the kernel making function users can create custom kernel shapes.
# Apply closing with an X-shaped kernel filtered_img = pcv.closing(gray_img=gray_img, kernel=np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]]))
Source Code: Here