Logical Operations - XOR

Join two images using the bitwise XOR operator (difference between the two images). Images must be the same size. This is a wrapper for the Opencv Function bitwise_xor.

logical_xor(bin_img1, bin_img2)

returns ='xor' image

  • Parameters:
    • bin_img1 - Binary image data to be compared to bin_img2.
    • bin_img2 - Binary image data to be compared to bin_img1.
  • Context:
    • Used to combine to images. Very useful when combining image channels that have been thresholded seperately.
  • Example use:

Input binary image 1


Input binary image 2


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"

# Combine two images that have had different thresholds applied to them.
# For logical 'and' operation object pixel must be in both images to be included in 'and' image.
xor_image = pcv.logical_xor(s_threshold, b_threshold)

Combined image