Mahotas – Dilating Image

In this article we will see how we can dilate the image in mahotas. Dilation adds pixels to the boundaries of objects in an image, while erosion removes pixels on object boundaries. The number of pixels added or removed from the objects in an image depends on the size and shape of the structuring element used to process the image.

In this tutorial we will use “luispedro” image, below is the command to load it.

mahotas.demos.load('luispedro')

Below is the luispedro image

In order to do this we will use mahotas.morph.dilatemethod

Syntax : mahotas.morph.dilate(image)



Argument :It takes image object as argument

Return : It returns image object

Note : Input image should be filtered or should be loaded as grey

In order to filter the image we will take the image object which is numpy.ndarray and filter it with the help of indexing, below is the command to do this

image = image[:, :, 0]

Below is the implementation

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# importing required libraries
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
  
# loading iamge
luispedro = mahotas.demos.load('luispedro')
  
# filtering image
luispedro = luispedro.max(2)
  
# otsu method
T_otsu = mahotas.otsu(luispedro)
   
  
# image values should be greater than otsu value
img = luispedro > T_otsu
  
print("Image threshold using Otsu Mehtod")
  
# showing image
imshow(img)
show()
  
# dilating image
dilate_img = mahotas.morph.dilate(img)
  
# showing dilated image
print("Dilated Image")
imshow(dilate_img)
show()

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Output :

Image threshold using Otsu Mehtod

Dilated Image

Another example

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# importing required libraries
import mahotas
import numpy as np
import matplotlib.pyplot as plt
import os
   
# loading iamge
img = mahotas.imread('dog_image.png')
        
# setting filter to the 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 Mehtod")
  
# showing image
imshow(img)
show()
  
# dilating image
dilate_img = mahotas.morph.dilate(img)
  
# showing dilated image
print("Dilated Image")
imshow(dilate_img)
show()

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Output :

Image threshold using Otsu Mehtod

Dilated Image




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