In this article we will see how we can transform image using daubechies wavelet in mahotas. In general the Daubechies wavelets are chosen to have the highest number A of vanishing moments, (this does not imply the best smoothness) for given support width 2A. There are two naming schemes in use, DN using the length or number of taps, and dbA referring to the number of vanishing moments. So D4 and db2 are the same wavelet transform.
In this tutorial we will use “luispedro” image, below is the command to load it.
Below is the luispedro image
In order to do this we will use
Syntax : mahotas.daubechies(img, ‘D8’)
Argument : It takes image object and string i.e one of ‘D2’, ‘D4’, … ‘D20’ 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]
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.
- Mahotas - Reconstructing image from transformed Daubechies wavelet image
- Mahotas - Removing border effect from Wavelet Center Image
- Mahotas - Making Image Wavelet Center
- Mahotas - Labelled Image from the Normal Image
- Loading Image using Mahotas - Python
- Mahotas – Edges using Difference of Gaussian for binary image
- Mahotas - Getting Mean Value of Image
- Mahotas - Element Structure for Eroding Image
- Mahotas - Dilating Image
- Mahotas - Eroding Image
- Mahotas - Opening Process on Image
- Mahotas - Element Structure for Dilating Image
- Labeled Image Function in Python Mahotas
- Mahotas - Cropping Image
- Mahotas - Fraction of zeros in image
- Mahotas - Perimeter of Objects in binary image
- Mahotas - Loading image as grey
- Mahotas - Getting Bounding Boxes of Labelled Image
- Mahotas - Distance from binary image
- Mahotas - Highlighting Image Maxima
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.