In this article we will see how we can get binary disk structuring element of given radius of the image in mahotas. A flat structuring element is a binary valued neighborhood, either 2-D or multidimensional, in which the true pixels are included in the morphological computation, and the false pixels are not. The center pixel of the structuring element, called the origin, identifies the pixel in the image being processed.
In this tutorial we will use “lena” image, below is the command to load it.
mahotas.demos.load('lena')
Below is the lena image
In order to do this we will use
mahotas.diskmethodSyntax : mahotas.disk(radius)
Argument : It takes integer as argument
Return : It returns image object
Below is the implementation
# importing required libraries import mahotas import numpy as np from pylab import gray, imshow, show import os # getting disk of given radius disk = mahotas.disk(10) # showing disk image imshow(disk) show() |
Output :
Another example
# importing required libraries import mahotas import numpy as np from pylab import gray, imshow, show import os # getting disk of given radius disk = mahotas.disk(98) # showing disk image imshow(disk) show() |
Output :
