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.

binary_threshold(img, threshold, maxValue, object_type, device, debug=None)

returns device, thresholded image

• Parameters:
  • img - grayscale img object
  • threshold - threshold value (0-255)
  • maxValue - value to apply above threshold (255 = white)
  • objecttype - 'light' or 'dark', is target image light or dark?
  • device- Counter for image processing steps
  • debug- None, "print", or "plot". Print = save to file, Plot = print to screen. Default = None
• Context:
  • Used to help differentiate plant and background
• Example use:
  • Use In VIS Tutorial
  • Use In NIR Tutorial
  • Use In PSII Tutorial

Original image

Grayscale image (saturation channel)

from plantcv import plantcv as pcv

# Create binary image from a gray image based on threshold values. Targeting light objects in the image.
device, threshold_light = pcv.binary_threshold(img, 36, 255, 'light', device, debug="print")

Thresholded image

from plantcv import plantcv as pcv

# Create binary image from a gray image based on threshold values. Targeting dark objects in the image.
device, threshold_dark = pcv.binary_threshold(img, 36, 255, 'dark', device, debug="print")

Thresholded image (inverse)