Mahotas – Getting Infocusness of each pixel

In this article we will see how we can get the infocusness of each pixel in mahotas. In order to get the infocusness of each pixel we will use the sobel operator. The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where it creates an image emphasizing edges.

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.sobel method
Syntax : mahotas.sobel(2d_img)
Argument : It takes two dimensional image object as argument
Return : It returns image object 

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')

# showing image
print("Image")
imshow(img)
show()

# getting infocusness of each pixel
focus = np.array([mahotas.sobel(t, just_filter = True) for t in img])

# showing focus pixel
print("Focus Image")
imshow(focus)
show()

Output :

Image

Focus 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[:, :, :3]

# showing image
print("Image")
imshow(img)
show()

# getting infocusness of each pixel
focus = np.array([mahotas.sobel(t, just_filter = True) for t in img])

# showing focus pixel
print("Foucs Image")
imshow(focus)
show()

Output :

Image 

Focus Image