Related Articles

# Python Mahotas – Introduction

• Difficulty Level : Medium
• Last Updated : 09 Jun, 2021

Mahotas is a computer vision and image processing and manipulation library for Python. A library is a collection of functions and methods that allows you to perform many actions without having to write hundreds of lines of code. Mahotas includes many algorithms that operates with arrays, mahotas currently has over 100 functions for image processing and computer vision and is constantly growing.

Mahotas provides a good solution in finding patterns in the image for example “Where’s Wally Problem” can be solved easily using Mahotas.

How to install Mahotas :

pip install mahotas

Notable algorithms available in Mahotas :
1. Watershed
2. Convex points calculations.
3. Hit & miss, thinning.
4. Zernike & Haralick, LBP, and TAS features.
5. Speeded-Up Robust Features (SURF), a form of local features.
6. Thresholding.
7. Convolution.
8. Sobel edge detection.
9. Spline interpolation
10. SLIC super pixels.

## Python3

 # importing required librariesimport numpy as npimport mahotasimport pylab # loading imageimg = mahotas.imread('dog_image.png') # showing the original imageimshow(img)show()

Output :

Example 2: Creating distance transform

## Python3

 # importing required librariesimport pylab as pimport numpy as npimport mahotas # creating numpy array of type boolf = np.ones((256, 256), bool) # setting false valuesf[200:, 240:] = Falsef[128:144, 32:48] = False # f is basically True with the exception of two islands:# one in the lower-right# corner, another, middle-left # creating a distance using numpy arraydmap = mahotas.distance(f) # showing imagep.imshow(dmap)p.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. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up