📜  Mahotas – 图像的区域最小值

📅  最后修改于: 2022-05-13 01:54:51.821000             🧑  作者: Mango

Mahotas – 图像的区域最小值

在本文中,我们将了解如何在 mahotas 中获得图像的区域最小值。区域最小值是比局部最小值更严格的标准,因为它考虑了整个对象而不仅仅是邻域。最小值是具有恒定强度值的像素的连接分量,被具有更高值的像素包围。
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

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
import matplotlib.pyplot as plt
   
# loading image
img = mahotas.demos.load('lena')
   
# filtering image
img = img.max(2)
 
print("Image")
   
# showing image
imshow(img)
show()
 
# finding regional minima
new_img = mahotas.regmin(img)
  
 
# showing image
print("Regional Minima")
imshow(new_img)
show()


Python3
# importing required libraries
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
import matplotlib.pyplot as plt
  
# loading image
img = mahotas.imread('dog_image.png')
 
 
# filtering image
img = img[:, :, 0]
   
print("Image")
   
# showing image
imshow(img)
show()
 
# finding regional minima
new_img = mahotas.regmin(img)
  
 
# showing image
print("Regional Minima")
imshow(new_img)
show()


输出 :

Image

Regional Minima

另一个例子

Python3

# importing required libraries
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
import matplotlib.pyplot as plt
  
# loading image
img = mahotas.imread('dog_image.png')
 
 
# filtering image
img = img[:, :, 0]
   
print("Image")
   
# showing image
imshow(img)
show()
 
# finding regional minima
new_img = mahotas.regmin(img)
  
 
# showing image
print("Regional Minima")
imshow(new_img)
show()

输出 :

Image

Regional Minima