Dilate¶

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 - 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:
  • Use In NIR Tutorial

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(img, kernel)

Image after dilation