Gaussian Blur

Applies a gaussian blur filter. Applies median value to central pixel within a kernel size (ksize x ksize). The function is a wrapper for the OpenCV function gaussian blur.

plantcv.gaussian_blur(img, ksize, sigma_x=0, sigma_y=None, roi=None)

returns blurred image

  • Parameters:
    • img - RGB or grayscale image data
    • ksize - Tuple of kernel dimensions, e.g. (5, 5). Must be odd integers.
    • sigma_x - standard deviation in X direction; if 0 (default), calculated from kernel size
    • sigma_y - standard deviation in Y direction; if sigma_Y is None (default), sigma_Y is taken to equal sigma_X
    • 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

Original image

Screenshot


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 gaussian blur to a binary image that has been previously thresholded.
gaussian_img = pcv.gaussian_blur(img=img1, ksize=(51, 51), sigma_x=0, sigma_y=None)

Gaussian blur (ksize = (51,51))

Screenshot


# Apply gaussian blur to a binary image that has been previously thresholded.
gaussian_img = pcv.gaussian_blur(img=img1, ksize=(101, 101), sigma_x=0, sigma_y=None)

Gaussian blur (ksize = (101,101))

Screenshot

Source Code: Here