Mahotas – 标记区域的大小

在本文中，我们将了解如何在 mahotas 中获取标记区域的大小。标记图像是整数图像，其中值对应于不同区域。即，区域 1 是具有值 1 的所有像素，区域 2 是具有值 2 的像素，依此类推。按照惯例，区域 0 是背景，通常以不同方式处理。我们可以借助 mahotas.label 方法创建一个带标签的区域。
为此，我们将使用 mahotas.label_size 方法

Syntax : mahotas.labelled_size(labelled_region)
Argument : It takes numpy.ndarray object as argument i.e labelled region
Return : It returns list of integer 
 

示例 1：

Python3

# importing required libraries
import mahotas as mh
import numpy as np
from pylab import imshow, show
 
# creating region
# numpy.ndarray
regions = np.zeros((10, 10), bool)
 
# setting 1 value in the region
regions[1, 1] = 1
regions[6, 6] = 1
regions[4, 4] = 1
regions[9, 9] = 1
 
# getting labelled function
labelled, nr_objects = mh.label(regions)
 
# showing the image with interpolation = 'nearest'
imshow(labelled, interpolation ='nearest')
show()
 
# getting sizes of labelled region
sizes = mh.labelled.labelled_size(labelled)
 
# printing sizes
for i in range(len(sizes)):
                
    print("Size of region " + str(i) + " : " + str(sizes[i]))

输出 ：

Size of region 0 : 96
Size of region 1 : 1
Size of region 2 : 1
Size of region 3 : 1
Size of region 4 : 1

示例 2：

Python3

# importing required libraries
import mahotas as mh
import numpy as np
from pylab import imshow, show
 
# creating region
# numpy.ndarray
regions = np.zeros((10, 10), bool)
 
# setting 1 value to the region
regions[:3, :3] = 1
regions[6:, 6:] = 1
 
# getting labelled function
labelled, nr_objects = mh.label(regions)
 
# showing the image with interpolation = 'nearest'
imshow(labelled, interpolation ='nearest')
show()
 
# getting sizes of labelled region
sizes = mh.labelled.labelled_size(labelled)
 
# printing sizes
for i in range(len(sizes)):
                
    print("Size of region " + str(i) + " : " + str(sizes[i]))
    

输出 ：

Size of region 0 : 75
Size of region 1 : 9
Size of region 2 : 16