Wand mean_shift() function – Python
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
from wand.image import Image
with Image(filename = '../geeksforgeeks.png' ) as image:
with image.clone() as mean_shift:
mean_shift.mean_shift( 30 , 10 , 0.2 )
mean_shift.save(filename = 'mean_shift1.jpg' )
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Output:
Example 2:
Python3
from wand.image import Image
from wand.drawing import Drawing
from wand.color import Color
with Drawing() as draw:
draw.stroke_color = Color( 'black' )
draw.stroke_width = 1
draw.fill_color = Color( 'white' )
draw.circle(( 200 , 200 ),
( 100 , 100 ))
draw.font = '../Helvetica.ttf'
draw.font_size = 30
with Image(width = 400 , height = 400 , background = Color( '# 45ff33' )) as pic:
draw.text( int (pic.width / 3 ), int (pic.height / 2 ), 'GeeksForGeeks !' )
draw(pic)
pic.mean_shift( 20 , 30 , 0.6 )
pic.save(filename = 'mean_shift2.jpg' )
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Output:
Last Updated :
19 May, 2021
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