Mahotas – 将模板与图像精确匹配

在本文中，我们将了解如何将模板与 mahotas 中的图像进行匹配。通过匹配模板，我们可以借助我们想要查找的结构找到图像中的特定位置或事物。

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.find method

Syntax : mahotas.find(img, template) 

Argument : It takes image object and template as argument

Return : It returns boolean ndarray

注意：输入图像应被过滤或应加载为灰色

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()
 
# template
template = np.array([
        [0, 1, 1],
        [0, 1, 1],
        [0, 1, 1]], bool)
 
 
# finding template in the image
new_img = mahotas.find(img, template)
 
print("Image with only templates")
# showing new image
imshow(new_img)
show()

输出 ：

Image threshold using Otsu Method

Image with only templates

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()
 
# template
template = np.array([
        [0, 1, 1],
        [0, 1, 1],
        [0, 1, 1]], bool)
 
 
# finding template in the image
new_img = mahotas.find(img, template)
 
print("Image with only templates")
# showing new image
imshow(new_img)
show()

输出 ：

Image threshold using Otsu Method

Image with only templates