Blurring and smoothing (Gaussian, median, bilateral) in Computer Vision - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to apply a Gaussian blur to the image using OpenCV.

Computer Vision

blurred = cv2.[1](image, (5, 5), 0)

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

Ablur

BGaussianBlur

CbilateralFilter

DmedianBlur

Attempts:

3 left

💡 Hint

Common Mistakes

Using medianBlur instead of GaussianBlur changes the smoothing method.

Using blur applies a simple average filter, not Gaussian.

The GaussianBlur function applies a Gaussian smoothing filter to reduce noise and detail.

2fill in blank

medium

Complete the code to apply a median blur with a kernel size of 5.

Computer Vision

blurred = cv2.[1](image, 5)

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

AmedianBlur

BGaussianBlur

CbilateralFilter

Dblur

Attempts:

3 left

💡 Hint

Common Mistakes

Using GaussianBlur instead of medianBlur changes the smoothing effect.

Using bilateralFilter requires more parameters.

The medianBlur function replaces each pixel with the median of neighboring pixels, useful for removing salt-and-pepper noise.

3fill in blank

hard

Fix the error in the code to apply a bilateral filter correctly.

Computer Vision

blurred = cv2.bilateralFilter(image, [1], 75, 75)

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

A9

B3

C1

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using too small diameter like 1 reduces smoothing effect.

Using even numbers may cause unexpected behavior.

The diameter of the pixel neighborhood should be a positive odd number like 5 for effective bilateral filtering.

4fill in blank

hard

Fill both blanks to create a dictionary with keys as filter names and values as their OpenCV function calls.

Computer Vision

filters = {'gaussian': cv2.[1], 'median': cv2.[2]

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

AGaussianBlur

BmedianBlur

CbilateralFilter

Dblur

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up bilateralFilter with medianBlur.

Using blur instead of GaussianBlur.

This dictionary maps filter names to their corresponding OpenCV functions for easy access.

5fill in blank

hard

Fill all three blanks to apply a bilateral filter with diameter 9, sigmaColor 75, and sigmaSpace 75.

Computer Vision

blurred = cv2.bilateralFilter(image, [1], [2], [3])

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

A5

B75

C9

D50

Attempts:

3 left

💡 Hint

Common Mistakes

Using diameter 5 instead of 9 changes smoothing area.

Confusing sigmaColor and sigmaSpace values.

The bilateral filter requires diameter, sigmaColor, and sigmaSpace parameters. Here diameter=9, sigmaColor=75, sigmaSpace=75.