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)
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
- Context:
- Used to reduce image noise
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 = "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))
# 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))
Source Code: Here