Wand mean_shift() function – Python

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The mean_shift() function is an inbuilt function in the Python Wand ImageMagick library which is used to recalculate pixel value by comparing neighboring pixels within a color distance and replacing with a mean value.

Syntax:
mean_shift(width, height, color_distance)
Parameters: This function accepts two parameters as mentioned above and defined below:

width: This parameter is used to store the width of neighborhood window in pixels.

height: This parameter is used to store the height of neighborhood window in pixels.

color_distance: This parameter is used to store pixel values within this color distance.

Return Value: This function returns the Wand ImageMagick object.

Original Image:

Example 1:

Python3

# Import library from Image 
from wand.image import Image
 
# Import the image
with Image(filename ='../zambiatek.png') as image:
    # Clone the image in order to process
    with image.clone() as mean_shift:
        # Invoke mean_shift function with width as 30 and height as 10 
        # and color_distance as 0.2
        mean_shift.mean_shift(30, 10, 0.2)
        # Save the image
        mean_shift.save(filename ='mean_shift1.jpg')

Output:

Example 2:

Python3

# Import libraries from the wand  
from wand.image import Image
from wand.drawing import Drawing
from wand.color import Color
 
with Drawing() as draw:
    # Set Stroke color the circle to black
    draw.stroke_color = Color('black')
    # Set Width of the circle to 2 
    draw.stroke_width = 1
    # Set the fill color to 'White (# FFFFFF)'
    draw.fill_color = Color('white')
 
    # Invoke Circle function with center at 50, 50 and radius 25
    draw.circle((200, 200), # Center point
                (100, 100)) # Perimeter point
    # Set the font style
    draw.font = '../Helvetica.ttf'
    # Set the font size 
    draw.font_size = 30
     
    with Image(width = 400, height = 400, background = Color('# 45ff33')) as pic:
        # Set the text and its location
        draw.text(int(pic.width / 3), int(pic.height / 2), 'GeeksForGeeks !')
        # Draw the picture
        draw(pic)
        # Invoke mean_shift function with width as 20, height as 30 and color_distance as 0.6
        pic.mean_shift(20, 30, 0.6)
        # Save the image 
        pic.save(filename ='mean_shift2.jpg')