Mahotas – Image Cropped to bounding box
Last Updated :
16 Sep, 2021
In this article we will see how we can get the image cropped to the bounding box in mahotas. We can get image bounding box with the help of bbox method. 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.croptobbox method
Syntax : mahotas.croptobbox(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
img = mahotas.demos.load( 'lena' )
img = img. max ( 2 )
T_otsu = mahotas.otsu(img)
img = img > T_otsu
print ( "Image threshold using Otsu Method" )
imshow(img)
show()
new_img = mahotas.croptobbox(img)
print ( "Cropped to bbox Image" )
imshow(new_img)
show()
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Output :
Image threshold using Otsu Method
Cropped to bbox Image
Another example
Python3
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
img = mahotas.imread( 'dog_image.png' )
img = img[:, :, 0 ]
T_otsu = mahotas.otsu(img)
img = img > T_otsu
print ( "Image threshold using Otsu Method" )
imshow(img)
show()
new_img = mahotas.croptobbox(img)
print ( "Cropped to bbox Image" )
imshow(new_img)
show()
|
Output :
Image threshold using Otsu Method
Cropped to bbox Image
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