Mahotas – Removing border effect from Wavelet Center Image
Last Updated :
09 Jun, 2021
In this article we will see how we can remove the border effect from wavelet center in mahotas. Wavelets represent the scale of features in an image, as well as their position. Wavelet center will make the image small and place it in the center unlike daubechies wavelet. We use wavelet_center method to wavelet center 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 wavelet_decenter method
Syntax : mahotas.wavelet_decenter(centered_image, original_img_shape)
Argument : It takes image object and original image shape 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]
Example 1:
Python3
import numpy as np
import mahotas
import mahotas.demos
from mahotas.thresholding import soft_threshold
from pylab import imshow, show
from os import path
f = mahotas.demos.load( 'luispedro' , as_grey = True )
fc = mahotas.wavelet_center(f)
print ( "Image with wavelet center" )
imshow(fc)
show()
rd = mahotas.wavelet_decenter(fc, f.shape)
print ( "Restored Image" )
imshow(rd)
show()
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Output :
Example 2:
Python3
import mahotas
import numpy as np
from pylab import imshow, show
import os
img = mahotas.imread( 'dog_image.png' )
img = img[:, :, 0 ]
fc = mahotas.wavelet_center(img)
print ( "Image with wavelet center" )
imshow(fc)
show()
rd = mahotas.wavelet_decenter(fc, img.shape)
print ( "Restored Image" )
imshow(rd)
show()
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Output :
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