Median Blur¶

Applies a median blur filter. Applies median value to central pixel within a kernel size. The function is a wrapper for the SciPy function median filter.

plantcv.median_blur(gray_img, ksize, roi=None)

returns blurred image

• Parameters:
  • gray_img - Grayscale image data
  • ksize - kernel size => integer or tuple, ksize x ksize box if integer, (n, m) size box if tuple
  • roi - Optional rectangular ROI as returned by pcv.roi.rectangle within which to apply this function. (default = None, which uses the entire image)
• Context:
  • Used to reduce image noise
• Example use:
  • Below

Thresholded 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 = "plot"

# Apply median blur to a binary image that has been previously thresholded.
blur_5 = pcv.median_blur(gray_img, 5)

Median blur (ksize = 5)

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"

# Apply median blur to a binary image that has been previously thresholded.
blur_11 = pcv.median_blur(gray_img, (11, 11))

Median blur (ksize = (11,11))

Source Code: Here