Saturation Threshold

Creates a binary image from an RGB image by thresholding out saturated pixels.

plantcv.threshold.saturation(rgb_img, threshold=255, channel="any")

returns thresholded/binary image

  • Parameters:
    • rgb_img - RGB image data
    • threshold - Threshold value, above which is considered saturated (0-255, default = 255)
    • channel - How many channels must be saturated for the pixel to be masked out ("any", "all"; default="any")
  • Context:
    • Used to threshold based on saturation of pixels from any or all color channels. This can be a useful pre-processing step before doing color analysis.
  • Example use:
    • Below

Original image


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 on texture values.
sat_thresh = pcv.threshold.saturation(rgb_img=rgb_img, threshold=250, channel="any")

Thresholded image

We can see that part of the table was masked out due to being fully saturated.


Source Code: Here