Mahotas – Image Ellipse Axes
In this article we will see how we can get the image ellipse axes in mahotas. Ellipse exes are parameters of the image ellipse, parameters of the constant intensity ellipse with the same mass and second-order moments as the original image.
For this tutorial we will use ‘lena’ image, below is the command to load the lena image
mahotas.demos.load('lena')
Below is the lena image
In order to do this we will use mahotas.features.ellipse_axes method
Syntax : mahotas.features.ellipse_axes(img)
Argument : It takes image object as argument
Return : It returns two float values
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
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
import matplotlib.pyplot as plt
img = mahotas.demos.load( 'lena' )
img = img. max ( 2 )
print ( "Image" )
imshow(img)
show()
semimajor, semiminor = mahotas.features.ellipse_axes(img)
print ( "Semi Major Exes : " + str (semimajor))
print ( "Semi Minor Exes : " + str (semiminor))
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Output :
Image
Semi Major Exes : 295.60277400592844
Semi Minor Exes : 295.60277400592844
Another example
Python3
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
import matplotlib.pyplot as plt
img = mahotas.imread( 'dog_image.png' )
img = img[:, :, 0 ]
print ( "Image" )
imshow(img)
show()
semimajor, semiminor = mahotas.features.ellipse_axes(img)
print ( "Semi Major Exes : " + str (semimajor))
print ( "Semi Minor Exes : " + str (semiminor))
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Output :
Image
Semi Major Exes : 508.79612573247636
Semi Minor Exes : 308.5809619544451
Last Updated :
13 Jan, 2022
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