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
Python3
# importing required libraries import mahotas import mahotas.demos from pylab import gray, imshow, show import numpy as np # loading image 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 Method" ) # showing image imshow(img) show() # dilating image dilate_img = mahotas.morph.dilate(img) # showing dilated image print ( "Dilated Image" ) imshow(dilate_img) show() |
Output :
Image threshold using Otsu Method
Dilated Image
Another example
Python3
# importing required libraries import mahotas import numpy as np import matplotlib.pyplot as plt import os # loading image 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 Method" ) # showing image imshow(img) show() # dilating image dilate_img = mahotas.morph.dilate(img) # showing dilated image print ( "Dilated Image" ) imshow(dilate_img) show() |
Output :
Image threshold using Otsu Method
Dilated Image
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