Mahotas – Image Stretching
Last Updated :
21 Jul, 2022
In this article we will see how we can do image stretching in mahotas. Contrast stretching (often called normalization) is a simple image enhancement technique that attempts to improve the contrast in an image by `stretching’ the range of intensity values it contains to span a desired range of values, e.g. the full range of pixel values that the image type concerned allows.
In this tutorial we will use “lena” image, below is the command to load it.
mahotas.demos.load('lena')
Below is the lena image
In order to do this we will use mahotas.stretch method
Syntax : mahotas.stretch(img)
Argument : It takes image object as argument
Return : It returns image object
Note : Input image should be filtered or should be loaded as grey
In order to filter the image we will take the image object which is numpy.ndarray and filter it with the help of indexing, below is the command to do this
image = image[:, :, 0]
Below is the implementation
Python3
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
import matplotlib.pyplot as plt
img = mahotas.demos.load( 'lena' )
img = img. max ( 2 )
print ("Image")
imshow(img)
show()
new_img = mahotas.stretch(img)
print ("Stretched Image")
imshow(new_img)
show()
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Output :
Image
Stretched Image
Another example
Python3
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
import matplotlib.pyplot as plt
img = mahotas.imread( 'dog_image.png' )
img = img[:, :, 0 ]
print ("Image")
imshow(img)
show()
new_img = mahotas.stretch(img)
print ("Stretched Image")
imshow(new_img)
show()
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Output :
Image
Stretched Image
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