Standard Deviation Filter

Creates a grayscale image of pixelwise standard deviation from a grayscale image.

plantcv.stdev_filter(img, ksize, borders='nearest')

returns stdev image

  • Parameters:
    • img - Grayscale or RGB image data
    • ksize - Kernel size for texture measure calculation
    • borders - How the array borders are handled, either ‘reflect’, ‘constant’, ‘nearest’ (default), ‘mirror’, or ‘wrap’
  • Note:
    • This function is computationally expensive than other filters and will likely take several moments to run (even longer if images are large).
  • 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.
texture_img_11 = pcv.stdev_filter(img=gray_img, ksize=11, borders='nearest')
texture_img_51 = pcv.stdev_filter(img=gray_img, ksize=45, borders='nearest')
texture_img_111 = pcv.stdev_filter(img=gray_img, ksize=111, borders='nearest')

Standard deviation image (ksize=11)


Standard deviation image (ksize=45)


Standard deviation image (ksize=111)


Source Code: Here