Histogram Equalization

This is a method used to normalize the distribution of signal intensity values within an image. If the image has low contrast it will make it easier to threshold.

plantcv.hist_equalization(gray_img)

returns normalized image

  • Parameters:
    • gray_img - Grayscale image data
  • Context:
    • Used to normalize the distribution of a signal intensity within an image.

Grayscale image

Screenshot

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"

# Examine signal distribution within an image
# prints out an image histogram of signal within image
he_img = pcv.hist_equalization(gray_img)

Normalized image

Screenshot

Source Code: Here