Computer Vision Basics Coursera Quiz Answers – Networking Funda

All Weeks Computer Vision Basics Coursera Quiz Answers

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities.

They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience, and artificial intelligence.

Topics include color, light, and image formation; early, mid-and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.

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Computer Vision Basics Coursera Quiz Answers

Week 01 – Quiz 01: What is Computer Vision? Quiz Answers

Q1. Computer vision includes which of the following?

  • All are correct
  • Automatic extraction of features from images
  • Analysis of images
  • Understanding useful information
  • None are correct

Q1. The image acquisition devices of computer vision systems capture visual information as digital signals?

  • True
  • False

Quiz 03: MATLAB Basics Quiz Answers

Q3. Correct Syntax to read image in MATLAB in the current folder

  • var_image = imread(‘my_image.jpg’)
  • var_image = imread(‘my_image’)

Q4. Select the correct option to crop the top-left 50×50 section from the image read below.

var_image = imread(‘my_image.jpg’)

  • cropped_section = var_image(0:50,0:50)
  • cropped_section = var_image(1:50,1:50)
  • cropped_section = var_image[0:50,0:50]
  • cropped_section = var_image[1:50,1:50]

Q5. What is initial data type of the image you read through imread function of MATLAB?

  • int8
  • double
  • uint8

Q6. I1 = imread(‘my_image.jpg’)

I2 = im2double(I1)

  • Scales the image intensity values from 0 to 1
  • Converts the image from uint8 to double format
  • The array dimensions remain same

Q7. Select the options which assign the height and width of an image correctly in MATLAB.

var_image = imread(‘my_image.jpg’)

  • [height,width] = size(var_image ); (Ans)
  • [width,height] = size(var_image );
  • image_dimension = size(var_image );

width = image_dimension(1)

height = image_dimension(2)

  • image_dimension = size(var_image ); (Ans)

height = image_dimension(1)

width = image_dimension(2)

Week 02 – Quiz 01: Light Sources Quiz Answers

Q1. Which of the following are area sources?

  • Sun at infinity
  • Bulb
  • Diffuser boxes
  • All of these
  • White walls

Q2. Does distance of the light source affect the color of a pixel?

  • No
  • Yes

Quiz 02: Pinhole Camera Model Quiz Answers

Q10. Does distance of the light source affect the color of a pixel?

  • No
  • Yes

Quiz 03: Digital Camera Quiz Answers

Q1. Match column A with correct options in a column in B.

Column AColumn B
1) Shutter speeda) Amount of light per unit area reaching the image sensor
2) Exposureb) an effect that causes different signals to become indistinguishable when sampled
3) Aperturec) The length of time when sensor is exposed to light when taking a photograph
4) Aliasingd) Hole or an opening through which light travels
  • 1-c, 2-a, 3-d, 4-b

Week 03 – Quiz 01: Three-Level Paradigm


Column AColumn B
1) Computational Theorya) Steps for Computation
2) Representation and algorithmb) Physical realization of algorithms, programs and hardware
3) Implementationc) What the device is supposed to do
  • 1-c, 2-a, 3-b
  • 1-a, 2-b, 3-c
  • 1-b, 2-c, 3-a
  • 1-a, 2-c, 3-b

Quiz 02: Low-Level Vision

Q1. Low-level vision consists of:

1) feature detection and matching

2) early segmentation

  • 1
  • 1 and 2
  • 2
  • None

Week 04 – Quiz 01: Algorithms Quiz Answers

Q1. Match the Algorithms in column A with correct techniques in column B

Column AColumn B
1) Dynamic Programminga) Binary Image Restoration
2) Graph algorithmsb) Stereo matching
3) Dynamic Programmingc) Seam Carving
4) Graph algorithmsd) Image segmentation
  • 1-b, 2-d, 3-c, 4-a
Computer Vision Basics Coursera Course Review:

In our experience, we suggest you enroll in the Computer Vision Basics courses and gain some new skills from Professionals completely free and we assure you will be worth it.

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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