Mahotas – 获取每个像素的不聚焦

在本文中，我们将了解如何获得 mahotas 中每个像素的不聚焦。为了得到每个像素的不聚焦，我们将使用 sobel运算符。 Sobel运算符，有时称为 Sobel-Feldman运算符或 Sobel 滤波器，用于图像处理和计算机视觉，特别是在边缘检测算法中，它创建强调边缘的图像。

在本教程中，我们将使用“lena”图像，下面是加载它的命令。

mahotas.demos.load('lena')

下面是莉娜的图片

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 
 

下面是实现

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()

输出 ：

Image

Focus Image

另一个例子

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()

输出 ：

Image 

Focus Image