Mahotas – 关闭图像中的漏洞

在本文中，我们将看到如何在 mahotas 中关闭图像的孔。闭孔是指去除图像中存在的空洞，闭孔是先进行膨胀运算，再进行腐蚀运算的过程。它从获得的图像中消除了小孔，用于平滑轮廓和融合狭窄的断点。

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.close_holes method

Syntax : mahotas.close_holes(img)

Argument : It takes image object as argument

Return : It returns image object

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")
   
# showing image
imshow(img)
show()
  
 
# closing holes
new_img = mahotas.close_holes(img)
 
 
print("Closed Hole Image")
 
# showing image
imshow(new_img)
show()

输出 ：

Image threshold using Otsu Method

大津莉娜

Closed Hole Image

封闭孔

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()
   
 
# closing holes
new_img = mahotas.close_holes(img)
 
 
print("Closed Hole Image")
 
# showing image
imshow(new_img)
show()

输出 ：

Image threshold using Otsu Method

Closed Hole Image