Mahotas – 图像卷积
在本文中,我们将了解如何在 mahotas 中对图像进行卷积。卷积是一种简单的数学运算,它是许多常见图像处理运算符的基础。卷积提供了一种将两个数字数组“相乘”的方法,这些数组通常具有不同的大小,但具有相同的维度,以产生具有相同维度的第三个数字数组。
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.convolve method
Syntax : mahotas.convolve(img, weight)
Argument : It takes image object and numpy nd array objectas argument
Return : It returns image object
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()
# weight
weight = np.ones((5, 5), float)
# convolving image
new_img = mahotas.convolve(img, weight)
print("Convolved Image")
# showing image
imshow(new_img)
show()
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()
# weight
weight = np.ones((5, 5), float)
# convolving image
new_img = mahotas.convolve(img, weight)
print("Convolved Image")
# showing image
imshow(new_img)
show()
输出 :
Image threshold using Otsu Method
Convolved Image
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()
# weight
weight = np.ones((5, 5), float)
# convolving image
new_img = mahotas.convolve(img, weight)
print("Convolved Image")
# showing image
imshow(new_img)
show()
输出 :
Image threshold using Otsu Method
Convolved Image