Image filtering (gaussian_filter) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the gaussian_filter function from scipy.ndimage.

SciPy

from scipy.ndimage import [1]

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Amedian_filter

Bsobel_filter

Cgaussian_filter

Dlaplace_filter

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong filter function.

Forgetting to import from scipy.ndimage.

The gaussian_filter function is imported from scipy.ndimage to apply Gaussian blur to images.

2fill in blank

medium

Complete the code to apply a Gaussian filter with sigma=2 to the image array named 'img'.

SciPy

blurred_img = gaussian_filter(img, sigma=[1])

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A2

B10

C5

D0.5

Attempts:

3 left

💡 Hint

Common Mistakes

Using sigma=0.5 which blurs very little.

Using too large sigma values that blur too much.

The sigma parameter controls the amount of blur. Here, sigma=2 applies a moderate blur.

3fill in blank

hard

Fix the error in the code to correctly apply gaussian_filter to 'image' with sigma=1.5.

SciPy

filtered = gaussian_filter([1], sigma=1.5)

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Aimage

Bpicture

Cimg

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Using a variable name that does not exist.

Typo in the variable name.

The variable holding the image data is named image. Using the correct variable name avoids errors.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each pixel value to its square if the value is greater than 100.

SciPy

{pixel: pixel[1]2 for pixel in pixels if pixel [2] 100}

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A**

B>

C<

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using '*' instead of '**' for squaring.

Using '<' instead of '>' in the condition.

Use ** to square the pixel value and > to filter pixels greater than 100.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each pixel's string representation to its value if the value is less than 50.

SciPy

{str([1]): [2] for [3] in pixels if [2] < 50}

Drag options to blanks, or click blank then click option'

Apixel

Bvalue

Dpix

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Not converting the pixel to string for the key.

Use the same variable name pixel for key conversion, value, and iteration variable to keep the comprehension consistent.