Processing an image in order to derive some meaningful information from the image is known as image processing. It can be called a scientific study where we apply different methods or functions on images to find out what are its different features. We can enhance the image or degrade the image in order to extract unique features.
Mahotas is a computer vision and image processing library for python. It is implemented using C++ so it is fast and it operates over NumPy arrays. Currently, it has around 100 functions for computer vision and image processing.and is ever-growing.
In this article, we will explore what are the different functions and methods that are there in Mahotas which can be used for image processing.
Implementation:
Like any other python library, we can install mahotas using pip install mahotas.
- Importing required libraries
We will import all the functionalities of mahotas and other than that we will import pylab for image display functions.
from mahotas import *
from pylab import imshow, show
- Loading the image
We can use any image for image processing. I am using a bird image that I downloaded from google. We will use mahotas to load the image.
img = mahotas.imread('/bird.jpg')
imshow(img)
show()
- Performing Different Operations
Now we will perform different operations using mahotas and find out the important features and information about the image we are using.
#developers corner #complete guide #image analysis #image classification #image processing #image recognition #mahotas #python programming
