Why image processing transforms visual data in SciPy - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load an image using scipy.

SciPy

from scipy import [1]
image = [1].face()

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

Andimage

Bfftpack

Csignal

Dmisc

Attempts:

3 left

💡 Hint

Common Mistakes

Using scipy.ndimage instead of scipy.misc

Trying to load image without importing misc

The scipy.misc module contains the face() function to load a sample image.

2fill in blank

medium

Complete the code to convert the image to grayscale using skimage.

SciPy

from skimage import [1]
gray_image = [1].rgb2gray(image)

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Andimage

Bcolor

Cmisc

Dsignal

Attempts:

3 left

💡 Hint

Common Mistakes

Using scipy.misc for rgb2gray (it does not have it)

Trying to use ndimage for color conversion

The rgb2gray function is in skimage.color to convert RGB images to grayscale.

3fill in blank

hard

Fix the error in the code to apply a Gaussian filter to the image.

SciPy

from scipy import ndimage
filtered_image = ndimage.[1](image, sigma=3)

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Agaussian

Bgauss_filter

Cgaussian_filter

Dfilter_gaussian

Attempts:

3 left

💡 Hint

Common Mistakes

Misspelling the function name

Using a non-existent function like gauss_filter

The correct function name is gaussian_filter in scipy.ndimage.

4fill in blank

hard

Fill both blanks to create a dictionary of pixel intensities for pixels greater than 100.

SciPy

pixel_dict = {pixel: pixel[1]2 for pixel in image.flatten() if pixel [2] 100}

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A**

B>

C<

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using *2 instead of **2 for squaring

Using < instead of > in the condition

We square the pixel value with **2 and filter pixels greater than 100 with >.

5fill in blank

hard

Fill all three blanks to create a filtered dictionary with uppercase keys and values greater than 50.

SciPy

filtered_pixels = { [1]: [2] for [1], [2] in pixel_dict.items() if [2] [3] 50}

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Apixel.upper()

Bvalue

C>

Dpixel

Attempts:

3 left

💡 Hint

Common Mistakes

Using pixel.upper() as key without defining pixel variable

Using < instead of > in condition

Keys are pixel names, values are value, and we filter values > 50.