Mahotas – 图像的欧拉数

在本文中，我们将了解如何在 mahotas 中获取图像的欧拉数。欧拉数是图像拓扑的度量。它被定义为图像中的对象总数减去这些对象中的孔数。您可以使用 4 或 8 连接的社区。

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.euler method

Syntax : mahotas.euler(img)

Argument : It takes image object as argument

Return : It returns integer
 

注意：输入图像应被过滤或加载为灰色

为了过滤图像，我们将获取图像对象 numpy.ndarray 并在索引的帮助下对其进行过滤，下面是执行此操作的命令

image = image[:, :, 0]

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')
 
 
   
# 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")
 
# creating a labeled image
marker, n_nucleus = mahotas.label(img)
   
# showing image
imshow(img)
show()
 
 
# euler number of image of image
euler = mahotas.euler(img)
 
print("Euler Number of Image : " + str(euler))

输出 ：

Image threshold using Otsu Method

Euler Number of Image : 54.25

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[:, :, 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()
 
 
# euler number of image of image
euler = mahotas.euler(img)
 
print("Euler Number of Image : " + str(euler))

输出 ：

Image threshold using Otsu Method 

Euler Number of Image : 76.75