Morphological operations (erosion, dilation, opening, closing) in Computer Vision - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to apply erosion on the image using OpenCV.

Computer Vision

eroded_image = cv2.[1](image, kernel, iterations=1)

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

Aerode

Bdilate

Cblur

Dthreshold

Attempts:

3 left

💡 Hint

Common Mistakes

Using dilate instead of erode will expand white regions instead of shrinking them.

Using blur or threshold functions do not perform morphological erosion.

The erode function shrinks bright regions in the image, which is the erosion operation.

2fill in blank

medium

Complete the code to create a 3x3 rectangular structuring element for morphological operations.

Computer Vision

kernel = cv2.getStructuringElement(cv2.MORPH_[1], (3, 3))

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

ARECT

BCROSS

CELLIPSE

DSQUARE

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing ELLIPSE or CROSS will create different shaped kernels, not rectangular.

SQUARE is not a valid OpenCV structuring element shape.

The RECT shape creates a rectangular kernel, commonly used in morphological operations.

3fill in blank

hard

Fix the error in the code to perform morphological opening on the image.

Computer Vision

opened_image = cv2.morphologyEx(image, cv2.MORPH_[1], kernel)

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

ADILATE

BCLOSE

CERODE

DOPEN

Attempts:

3 left

💡 Hint

Common Mistakes

Using CLOSE applies dilation then erosion, which is the opposite of opening.

Using ERODE or DILATE alone does not perform opening.

MORPH_OPEN applies erosion followed by dilation, which is the opening operation.

4fill in blank

hard

Fill both blanks to perform morphological closing on the image with a 5x5 elliptical kernel.

Computer Vision

kernel = cv2.getStructuringElement(cv2.MORPH_[1], (5, 5))
closed_image = cv2.morphologyEx(image, cv2.MORPH_[2], kernel)

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

AELLIPSE

BOPEN

CCLOSE

DRECT

Attempts:

3 left

💡 Hint

Common Mistakes

Using RECT instead of ELLIPSE changes the kernel shape.

Using OPEN instead of CLOSE applies the wrong morphological operation.

Using ELLIPSE creates an elliptical kernel, and MORPH_CLOSE applies dilation followed by erosion, which is closing.

5fill in blank

hard

Fill all three blanks to create a dilation operation with a 7x7 cross-shaped kernel and 2 iterations.

Computer Vision

kernel = cv2.getStructuringElement(cv2.MORPH_[1], (7, 7))
dilated_image = cv2.[2](image, kernel, iterations=[3])

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

ACROSS

Bdilate

C2

Derode

Attempts:

3 left

💡 Hint

Common Mistakes

Using ERODE instead of dilate will shrink regions instead of expanding.

Using RECT or ELLIPSE changes the kernel shape.

Setting iterations to 1 or missing it changes the effect strength.

The CROSS kernel shape is used, dilate applies dilation, and 2 sets the number of iterations.