Perform morphological 'dilation' filtering. Adds pixel in center of the kernel if conditions set in kernel are true.

plantcv.dilate(gray_img, kernel, i)

returns image after dilation

  • Parameters:
    • gray_img - Grayscale (usually binary) image data.
    • kernel - An odd integer that is used to build a kernel x kernel matrix using np.ones. Must be greater than 1 to have an effect.
    • i - An integer for number of iterations, i.e. the number of consecutive filtering passes.
  • Context:
    • Used to perform morphological dilation filtering. Helps expand objects at the edges, particularly after erosion.
  • Example use:

Input grayscale 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 = "print"

# Perform dilation
# Results in addition of pixels to the boundary of object
dilate_img = pcv.dilate(gray_img=gray_img, kernel=9, i=1)

Image after dilation