Image rotation and zoom in SciPy - Mini Project: Build & Apply

Image rotation and zoom

📋 What You'll Learn

💡 Why This Matters

🌍 Real World

Rotating and zooming images is common in photo editing, medical imaging, and computer vision tasks.

💼 Career

Understanding image transformations is useful for data scientists working with image data, such as in AI, machine learning, and digital media.

1

Create a simple 2D image array

Create a 2D numpy array called image with these exact values: [[0, 0, 0, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 1, 0], [0, 1, 1, 1, 0], [0, 0, 0, 0, 0]]

SciPy

# Create the 2D numpy array called image with the given values
# Your code here

Need a hint?

Use np.array to create the 2D array with the exact values.

2

Set the rotation angle

Create a variable called angle and set it to 45 to represent the rotation angle in degrees.

SciPy

import numpy as np

image = np.array([[0, 0, 0, 0, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 0, 0, 0, 0]])
# Create the variable angle and set it to 45
# Your code here

Need a hint?

Just assign the number 45 to the variable angle.

3

Rotate the image

Import rotate from scipy.ndimage and create a variable called rotated_image by rotating image by angle degrees with reshape=False.

SciPy

import numpy as np
from scipy.ndimage import rotate

image = np.array([[0, 0, 0, 0, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 0, 0, 0, 0]])

angle = 45
# Rotate the image by angle degrees without reshaping
# Your code here

Need a hint?

Use rotate(image, angle, reshape=False) to keep the image size same.

4

Zoom the rotated image and print

Import zoom from scipy.ndimage. Create a variable called zoomed_image by zooming rotated_image with a zoom factor of 1.5. Then print zoomed_image.

SciPy

import numpy as np
from scipy.ndimage import rotate, zoom

image = np.array([[0, 0, 0, 0, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 1, 1, 1, 0],
                  [0, 0, 0, 0, 0]])

angle = 45

rotated_image = rotate(image, angle, reshape=False)
# Zoom the rotated_image by 1.5 and print the result
# Your code here

Need a hint?

Use zoom(rotated_image, 1.5) and then print the result.