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Wand statistic() function in Python

  • Last Updated : 08 May, 2020
Geek Week

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:

ParameterInput TypeDescription
statbasestringThe type of statistic to calculate. See STATISTIC_TYPES.
widthnumbers.IntegralThe size of neighboring pixels on the X-axis.
heightnumbers.IntegralThe size of neighboring pixels on the Y-axis.
channelbasestringOptional 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:

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