Sai A Sai A
Updated date Jan 16, 2024
In this blog, we will explore easy ways to convert an image into NumPy array using Python. With simple code examples for each method using PIL, OpenCV, Matplotlib, and Scikit-Image.

Introduction:

When you want to play with pictures using a computer, you need a way to turn them into something the computer understands. In this blog, we're going to learn simple ways to change images into a special kind of numbers called NumPy arrays. We will use easy-to-understand Python code for each method.

Method 1: Using the PIL Library

The PIL Library is like a magic wand for pictures in Python. It helps us open, change, and save different kinds of pictures. Let's see how we can use it to turn a picture into a set of numbers.

from PIL import Image
import numpy as np

# Open a picture file
image_path = "path/to/your/image.jpg"
image_pil = Image.open(image_path)

# Turn the picture into a set of numbers (NumPy array)
image_np = np.array(image_pil)

# Show the set of numbers
print(image_np)

Output:

The output is a bunch of numbers that represent the picture.

Method 2: Using OpenCV

OpenCV is like a super-helper for working with pictures and videos. It has a cool trick to quickly turn a picture into numbers.

import cv2
import numpy as np

# Read a picture using OpenCV
image_path = "path/to/your/image.jpg"
image_cv2 = cv2.imread(image_path)

# Turn the OpenCV picture into a set of numbers (NumPy array)
image_np_opencv = np.array(image_cv2)

# Show the set of numbers
print(image_np_opencv)

Output:

The output is another set of numbers that represent the picture, just like in Method 1.

Method 3: Using Matplotlib

Matplotlib is like an artist's toolkit for pictures. It can also help us turn pictures into numbers. Let's see how easy it is.

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np

# Read a picture using Matplotlib
image_path = "path/to/your/image.jpg"
image_matplotlib = mpimg.imread(image_path)

# Turn the Matplotlib picture into a set of numbers (NumPy array)
image_np_matplotlib = np.array(image_matplotlib)

# Show the set of numbers
print(image_np_matplotlib)

Output:

The output is a set of numbers again, just like in the previous methods.

Method 4: Using Scikit-Image

Scikit-Image is like a secret agent for pictures. It helps us do special things with pictures, and it has a neat trick to turn them into numbers.

from skimage import io
import numpy as np

# Read a picture using Scikit-Image
image_path = "path/to/your/image.jpg"
image_skimage = io.imread(image_path)

# Turn the Scikit-Image picture into a set of numbers (NumPy array)
image_np_skimage = np.array(image_skimage)

# Show the set of numbers
print(image_np_skimage)

Output:

Once again, the output is a set of numbers that represent the picture.

Conclusion:

In this blog, we have learned simple ways to change pictures into numbers using different ways in Python like the PIL,  OpenCV, the Matplotlib, or the Scikit-Image.

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