Computer Vision
Sheet 1
Dr. Wafaa Shalash
Eng. Abdul Wahab Messery
Attempt the following questions:
1. What is computer vision?
2. What is the relation among Computer Vision and Artificial Intelligence?
3. Discuss five applications of computer visions in our life?
4. What Is the Difference Between Human Vision and Computer Vision?
5. Explain the main steps to build a system to count number of coins in an
image?
6. How computer vision role in medical field arises during COVID 19
pandemic?
7. How does a computer see?
8. What is the difference between Image processing and Computer Vision?
9. What is the importance of Image processing for Computer Vision?
10.If you know that the blood contains different cells type as shown in
figure 1. Explain in detail how to build a system to differentiate different
blood cell types?
Figure 1
11.What is the needed steps to count number of bacteria on figure 2?
Removing the Blur
Figure 2
12.Discuss the main the difference between Machine Learning and Deep
learning?
13.What is the advantage and disadvantage of using deep learning to
perform a computer vision task?(morphology) -- range of image processing techniques that deal with the
14.What is image morphology? shape of features in an image. Morphological operations are typically
applied to remove imperfections introduced during segmentation
15.What are topological properties?
16.Find the number of connected components in figure 3 using Connected
Component Labelling algorithm. Illustrate the equivalent classes of
labels .
a. Using 4 connected components.
b. Using 8 connected components.
1 1
1 1 1 1
1 1 1 1
1 1 1 1
1 1 1 1
1 1
1 1 1
1 1 1
17.What is the difference between feature detection, and feature
description? Give examples.
18.Why pre-processing is used to normalize input images before feature
extraction? ...., Cause difficulty in feature detection
19.Why histogram equalization is used with images before feature
extraction stage?
20.What is the meaning of invariant feature? Give example?
21.What is the meaning of variant feature? Give example?
22.How region could be represented? Give examples
23.What is an object signature?
24.For the following figure find the chain code representation using:
a. Using 4 connected components.
b. Using 8 connected components.
1 1 1 1 1
1 1 1 1
1 1 1 1
1 1 1 1
1 1 1
1 1
25.Discuss in details how can you build a computer vision system to classify
geometric shapes (circle -triangle, rectangle and square)
26.Fill in the space
a) Computer vision tasks include methods for
1. _________________________
2. _________________________
3. _________________________
4. _________________________
5. _________________________
b) Converting image in different format is a/an ____________task
Image Processing
c) The Properties of Connectivity – Equivalence Relations are:
1. _________________________
Reflixive
2. _________________________
symetric
3. _________________________
Transitive
d) In general, features should be __________
independant of location, rotation, and
scale.
e) Regions could be represents using different representations such as
1. _________________________
Boundary Segmentation
2. _________________________
Polygan
3. _________________________
Skeleton
4. _________________________
Chain Code
5. _________________________
Signature
27.MCQ:
Converting image in different format is a/an ____________task.
a) Image processing
b) Image understanding
c) Computer vision
Extracting knowledge from a scene is a/an ______________ task
a) Image processing
b) Image understanding
c) Computer vision
When computers conduct tasks such as determining if an object is in a photo,
how many objects are in the photo, where the objects are located in the
photo, and much more, this is considered a _____task
a) Image processing
b) Image understanding
c) Computer vision
Extracting knowledge from a scene is a/an ______________ task
a) Image processing
b) Image understanding
c) Computer vision
