Sobel and Laplace edge detection in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Sobel filter from scipy.ndimage.

SciPy

from scipy.ndimage import [1]

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Alaplace

Bsobel

Cgaussian_filter

Dmedian_filter

Attempts:

3 left

💡 Hint

Common Mistakes

Importing laplace instead of sobel.

Using gaussian_filter which is for smoothing, not edge detection.

The Sobel filter is imported from scipy.ndimage as 'sobel'.

2fill in blank

medium

Complete the code to apply the Sobel filter on the image array along the x-axis.

SciPy

edge_x = sobel(image, axis=[1])

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A0

B-1

C1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=0 which is the y-axis (rows).

Using axis=2 which does not exist in 2D images.

Axis 1 corresponds to the x-axis (columns) in the image array for the Sobel filter.

3fill in blank

hard

Fix the error in the code to apply the Laplace filter correctly on the image.

SciPy

from scipy.ndimage import laplace

edges = laplace([1])

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Aimage

Bedges

Claplace

Dsobel

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the output variable 'edges' instead of the image.

Passing the function name 'laplace' as argument.

The Laplace filter function takes the image array as input, so 'image' must be passed.

4fill in blank

hard

Fill both blanks to create a dictionary of edge images using Sobel and Laplace filters.

SciPy

edges = {
    'sobel_x': sobel(image, axis=[1]),
    'laplace': [2](image)
}

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A0

Blaplace

Csobel

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis 0 for sobel_x which detects horizontal edges.

Using 'sobel' instead of 'laplace' for laplace key.

Sobel filter along axis 1 detects vertical edges; laplace is called as a function on image.

5fill in blank

hard

Fill all three blanks to compute the combined edge magnitude from Sobel edges along x and y axes.

SciPy

edge_x = sobel(image, axis=[1])
edge_y = sobel(image, axis=[2])
edge_magnitude = (edge_x[3]edge_y**2)**0.5

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A0

B1

C+

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using subtraction instead of addition for combining edges.

Swapping axis 0 and 1 for edge_x and edge_y.

Sobel edges along axis 1 (x) and 0 (y) are combined by adding squares and taking square root for magnitude.