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, max_value, object_type="light")
returns thresholded/binary image
- gray_img - Grayscale image data
- threshold - Threshold value (0-255)
- 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.
- Used to help differentiate plant and background
- Example use:
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, max_value=255, object_type='light')
# 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, max_value=255, object_type='dark')
Thresholded image (inverse)
Source Code: Here