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:
# importing various libraries import numpy as np import mahotas import mahotas.demos from mahotas.thresholding import soft_threshold from pylab import imshow, show from os import path # loading image f = mahotas.demos.load('luispedro', as_grey = True) # making image wavelet center fc = mahotas.wavelet_center(f) # showing image print("Image with wavelet center") imshow(fc) show() # restoring image rd = mahotas.wavelet_decenter(fc, f.shape) # showing image print("Restored Image") imshow(rd) show() |
Output :
Example 2:
# importing required libraries import mahotas import numpy as np from pylab import imshow, show import os # loading iamge img = mahotas.imread('dog_image.png') # filtering iamge img = img[:, :, 0] # making image wavelet center fc = mahotas.wavelet_center(img) # showing image print("Image with wavelet center") imshow(fc) show() # restoring image rd = mahotas.wavelet_decenter(fc, img.shape) # showing image print("Restored Image") imshow(rd) show() |
Output :
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
