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
# importing required libraries import mahotas import mahotas.demos from pylab import gray, imshow, show import numpy as np # loading image img = mahotas.demos.load( 'lena' ) # filtering image img = img. max ( 2 ) # otsu method T_otsu = mahotas.otsu(img) # image values should be greater than otsu value img = img > T_otsu print ( "Image threshold using Otsu Method" ) # showing image imshow(img) show() # crop to bbox new_img = mahotas.croptobbox(img) print ( "Cropped to bbox Image" ) # showing image imshow(new_img) show() |
Output :
Image threshold using Otsu Method
Cropped to bbox Image
Another example
Python3
# importing required libraries import mahotas import numpy as np from pylab import gray, imshow, show import os # loading image img = mahotas.imread( 'dog_image.png' ) # filtering image img = img[:, :, 0 ] # otsu method T_otsu = mahotas.otsu(img) # image values should be greater than otsu value img = img > T_otsu print ( "Image threshold using Otsu Method" ) # showing image imshow(img) show() # crop to bbox new_img = mahotas.croptobbox(img) print ( "Cropped to bbox Image" ) # showing image imshow(new_img) show() |
Output :
Image threshold using Otsu Method
Cropped to bbox Image