Related Articles

Related Articles

Mahotas – Match template to image exactly
  • Last Updated : 10 Jul, 2020

In this article we will see how we can match a template with the image in mahotas. By matching templates we can find the specific location or things in a image with the help of structure we want to find.

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.find method



Syntax : mahotas.find(img, template)

Argument : It takes image object and template as argument

Return : It returns boolean ndarray

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

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing required libraries
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
    
# loading iamge
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 Mehtod")
  
# showing image
imshow(img)
show()
  
# template
template = np.array([
        [0, 1, 1],
        [0, 1, 1],
        [0, 1, 1]], bool)
  
  
# finding template in the image
new_img = mahotas.find(img, template)
  
print("Image with only templates")
# showing new image
imshow(new_img)
show()

chevron_right


Output :

Image threshold using Otsu Mehtod



Image with only templates

Another example

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing required libraries
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
   
# loading iamge
img = mahotas.imread('dog_image.png')
  
  
# fltering 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 Mehtod")
    
# showing image
imshow(img)
show()
  
# template
template = np.array([
        [0, 1, 1],
        [0, 1, 1],
        [0, 1, 1]], bool)
  
  
# finding template in the image
new_img = mahotas.find(img, template)
  
print("Image with only templates")
# showing new image
imshow(new_img)
show()

chevron_right


Output :

Image threshold using Otsu Mehtod

Image with only templates

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :