binary_threshold.md

Binary Threshold

Creates a binary image from a gray image based on the threshold values. The object target can be specified as dark or light.

plantcv.threshold.binary(gray_img, threshold, object_type="light")

returns thresholded/binary image

• Parameters:
  • gray_img - Grayscale image data
  • threshold - Threshold value (0-255)
  • 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
• Example use:
  • Use In VIS Tutorial
  • Use In PSII Tutorial

Original image

Grayscale image (saturation 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 = "plot"

# Create binary image from a gray image based on threshold values, 
# targeting light objects in the image.
threshold_light = pcv.threshold.binary(gray_img=gray_img, threshold=36, object_type='light')

Thresholded image

# Create binary image from a gray image based on threshold values, 
# targeting dark objects in the image.
threshold_dark = pcv.threshold.binary(gray_img=gray_img, threshold=36, object_type='dark')

Thresholded image (inverse)

Source Code: Here