In this article we will see how we can make the image 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.
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_center method
Syntax : mahotas.wavelet_center(img)
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]
Example 1:
Python3
# importing various librariesimport numpy as npimport mahotasimport mahotas.demosfrom mahotas.thresholding import soft_thresholdfrom pylab import imshow, showfrom os import path# loading imagef = mahotas.demos.load('luispedro', as_grey = True)# showing imageprint("Image")imshow(f)show()# making image wavelet centerfc = mahotas.wavelet_center(f)# showing imageprint("Image with wavelet center")imshow(fc)show() |
Output :
Example 2:
Python3
# importing required librariesimport mahotasimport numpy as npfrom pylab import imshow, showimport os# loading imageimg = mahotas.imread('dog_image.png')# filtering imageimg = img[:, :, 0]# showing imageprint("Image")imshow(img)show()# making image wavelet centerfc = mahotas.wavelet_center(img)# showing imageprint("Image with wavelet center")imshow(fc)show() |
Output :
