Mean Adaptive Threshold¶

Creates a binary image from a grayscale image using the mean adaptive thresholding method.

plantcv.threshold.mean(gray_img, max_value, object_type="light")

returns thresholded/binary image

• Parameters:
  • gray_img - Grayscale image data
  • max_value - Value to apply above threshold (255 = white)
  • object_type - "light" or "dark" (default: "light"). If object is lighter than the background then standard thresholding is done. If object is darker than the background then inverse thresholding is done
• Context:
  • Used to help differentiate plant and background

Grayscale image (green-magenta channel)

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"

# Create binary image from a gray image based 
threshold_mean = pcv.threshold.mean(gray_img, 255, 'dark')

Auto-Thresholded image (mean)