In this article we will see how we can crop the image in mahotas. Cropping is easily done simply by slicing the correct part out of the array, here array is the image object which is numpy.ndarray.
In this tutorial we will use “luispedro” image, below is the command to load it.
mahotas.demos.load('luispedro')
Below is the luispedro image
In order to do this 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[i1:i2, j1:j2]
Example 1:
Python3
import numpy as np
import mahotas
import mahotas.demos
from mahotas.thresholding import soft_threshold
from matplotlib import pyplot as plt
from os import path
f = mahotas.demos.load( 'luispedro' , as_grey = True )
plt.gray()
print ( "Image" )
plt.imshow(f)
plt.show()
f = f[ 50 : 200 , 20 : 250 ]
print ( "Cropped Image" )
plt.imshow(f)
plt.show()
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Output :
Example 2:
Python3
import mahotas
import numpy as np
from pylab import imshow, show
import os
img = mahotas.imread( 'dog_image.png' )
print ( "Image" )
imshow(img)
show()
img = img[:, 200 : 700 ]
print ( "Cropped Image" )
imshow(img)
show()
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Output :
Last Updated :
07 Jun, 2021
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