Wand statistic() function in Python

Statistic effect is similar to Spread effect, the only difference is that, it replaces each pixel with the result of a mathematical operation performed against neighboring pixel values.The width & height defines the size, or aperture, of the neighboring pixels.

The type of statistic operations can be any of the following:

• ‘gradient’
• ‘maximum’
• ‘mean’
• ‘median’
• ‘minimum’
• ‘mode’
• ‘nonpeak’
• ‘root_mean_square’
• ‘standard_deviation’

Syntax : wand.image.statistic(stat, width, height, channel)

Parameters:

Parameter	Input Type	Description
stat	basestring	The type of statistic to calculate. See STATISTIC_TYPES.
width	numbers.Integral	The size of neighboring pixels on the X-axis.
height	numbers.Integral	The size of neighboring pixels on the Y-axis.
channel	basestring	Optional color channel to target.

Input Image:

Example 1:

# Import Image from wand.image module
from wand.image import Image

# Read image using Image function
with Image(filename ="koala.jpeg") as img:
    img.statistic("median", width = 8, height = 5)
    img.save(filename ="kl-statistic.jpeg")

Output:

Input Image:

Example 2:

# Import Image from wand.image module
from wand.image import Image

# Read image using Image function
with Image(filename ="road.jpeg") as img:
    img.statistic("median", width = 8, height = 5)
    img.save(filename ="rd-statistic.jpg")

Output: