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Mahotas – Cropping Image
  • Last Updated : 07 Jun, 2021

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




# importing required libraries
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
 
# loading image as grey
f = mahotas.demos.load('luispedro', as_grey = True)
 
# making plt grey
plt.gray()
 
# showing image
print("Image")
plt.imshow(f)
plt.show()
 
# cropping image
f = f[50:200, 20: 250]
 
 
# Show the image
print("Cropped Image")
plt.imshow(f)
plt.show()

Output : 
 

Example 2: 
 

Python3




# importing required libraries
import mahotas
import numpy as np
from pylab import imshow, show
import os
 
 
# loading image
img = mahotas.imread('dog_image.png')
 
# showing image
print("Image")
imshow(img)
show()
 
     
 
# cropping image
img = img[:, 200:700]
 
 
# showing the image
print("Cropped Image")
imshow(img)
show()

Output : 
 

 

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