Python Mahotas 中的标记图像函数

在本文中，我们将了解如何从 mahotas 中的二元函数中获取标记函数。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。
为此，我们将使用 mahotas.label 方法

Syntax : mahotas.label(regions)
Argument : It takes numpy.ndarray object as argument
Return : It returns numpy.ndarray object and integer value 
 

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((8, 8), 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()

输出 ：

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 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()

输出 ：