Computer Vision Final Revision (2)
Article Questions:
1. Mention (with drawing) stages of digital image processing.
2. What is the Difference between computer vision and image processing?
3. What are the basic quantities to describe the quality of light source?
4. Mention the key-points of processing the Full-Color Image.
5. What are the sources of digital images?
6. Mention the common types image formats.
7. There are two methods used for image enhancement techniques. Mention them briefly.
8. Mention the image processing approaches used for image enhancement.
9. Mention with drawing steps of Image Restoration.
10. Mention types of image segmentation. Give a drawing example for each.
11. In edge detection technique, what is the difference between Ideal and Ramp Edges? Show by
drawing.
12. What is meant by Recognition & Interpretation process? Give examples for the importance using
that technique.
13. What is meant by Representation & Description process? Mention the two ways for representation
region.
14. Mention Data Compression Types.
15. What is computer vision?
Ans: It’s Subset of AI. Computer vision is an interdisciplinary scientific field that deals with how
computers can be made to gain high-level understanding from images or videos
16. What is opencv ?
Ans: OpenCV is Open Source Computer Vision Library released under the BSD license, which is
free for both commercial and academic use. OpenCV provides a programming interface for
Python, C, C++, and Java and supports various platforms like Windows, Linux, iOS, and Android.
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
1/12
Computer Vision Final Revision (2)
Problems:
1. Satellite operates in the region of interest for duration of 2 hours, the optical system is capable of
taking 30 shots per second of digital image of 1024 by 1024 with 256 gray levels.
a- Compute the memory required to store images for that satellite.
b- Compute required time to send the stored images to ground station assuming link effective speed of data
transmission 200 kps.
2. Read the following image matrix, and answer the question:
0
3
3
1
1
0
2
2
2
3
3
4
3
4
5
7
6
6
a)Compute the image histogram.
b)Compute the frequency histogram
c)Compute the cumulative distribution histogram.
2
3
4
4
5
6
5
4
4
5
6
6
5
5
4
5
6
5
3. Read the following image matrix, and answer the question:
a)Compute the image histogram.
b)Compute the frequency histogram
4. A raster system (gray-scale) with resolution of 1280 X 1024 and a refresh rate of 60 frames per
second. (This means that each 1 frame consist of 1024 scan lines and each scan line contains 128
pixels)
a) How much time is spent scanning across each row of pixels during screen refresh?
b) Compute the buffer size (in bits) to store each frame.
5. Consider three different raster systems with resolutions of 640 x 480, 1280 x 1024, and 2560 x
2048. How much storage (in bytes) is required for each system if 24 bits per pixel are to be stored?
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
2/12
Computer Vision Final Revision (2)
Operation on images
What action occurred on these images (a) to get images the best results (b)?
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
3/12
Computer Vision Final Revision (2)
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
4/12
Computer Vision Final Revision (2)
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
5/12
Computer Vision Final Revision (2)
Mention the type of contract at the following histograms:
Multiple Choice Questions:
1. The spatial coordinates of a digital image (x,y) are proportional to:
a) Position
b) Brightness
c) Contrast
d) Noise
2. Among the following image processing techniques which is fast and flexible.
a) Optical
b) Digital
c) Electronic
d) Photographic
3. What is pixel?
a) Pixel is the elements of a digital image
b) Pixel is the elements of an analog image
c) Pixel is the cluster of a digital image
d) Pixel is the cluster of an analog image
4. Which is a colour attribute that describes a pure colour?
a) Saturation
b) Hue
c) Brightness
d) Intensity
5. Which gives a measure of the degree to which a pure colour is diluted by white light?
a) Saturation
b) Hue
c) Intensity
d) Brightness
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
6/12
Computer Vision Final Revision (2)
6. The number of gray values are integer powers of:
a) 4
b) 2
c) 8
d) 1
7.
What is the first and foremost step in Image Processing?
a) Image restoration
b) Image enhancement
c) Image acquisition
d) Segmentation
8. What is the next step in image processing after restoration?
a) Wavelets
b) Segmentation
c) Representation and description
d) Morphological processing
9. What is the step that is performed before Image restoration?
a) Wavelets and multi resolution processing
b) Image enhancement
c) Image representation & description
d) Image acquisition
10. How many number of steps are involved in image processing?
a) 8
b) 9
c) 11
d) 12
11. Consider and image with width and height as 100×100. Each pixel in the image can have a color
from Grayscale, i.e. values. How much space would this image require for storing? Note: No
compression is done.
a) 2,56,00,000
b) 25,60,000
c) 80,000
d) 8,000
12. Which of the following step deals with tools for extracting image components those are useful in
the representation and description of shape?
a) Segmentation
b) Representation & description
c) Compression
d) Morphological processing
13. Validate the statement “When in an Image an appreciable number of pixels exhibit high dynamic
range, the image will have high contrast.”
a) True
b) False
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
7/12
Computer Vision Final Revision (2)
14. The resulting image of sampling and quantization is considered a matrix of real numbers. By what
name(s) the element of this matrix array is called __________
a) Image element or Picture element
b) Pixel or Pel
c) All of the mentioned
d) None of the mentioned
15. The digitization process i.e. the digital image has M rows and N columns, requires decisions about
values for M, N, and for the number, L, of gray levels allowed for each pixel. The value M and N
have to be:
a) M and N have to be positive integer
b) M and N have to be negative integer
c) M have to be negative and N have to be positive integer
d) M have to be positive and N have to be negative integer
16. After digitization process a digital image with M rows and N columns have to be positive and for
the number, L, max gray levels i.e. an integer power of 2 for each pixel (i.e. L = 2k). Then, the
number b, of bits required to store a digitized image is:
a) b=M*N*k
b) b=M*N*L
c) b=M*L*k
d) b=L*N*k
17. To convert a continuous sensed data into Digital form, which of the following is required?
a) Sampling
b) Quantization
c) Both Sampling and Quantization
d) Neither Sampling nor Quantization
18. To convert a continuous image f(x, y) to digital form, we have to sample the function in
__________
a) Coordinates
b) Amplitude`
c) All of the mentioned
d) None of the mentioned
19. For a continuous image f(x, y), how could be Sampling defined?
a) Digitizing the coordinate values
b) Digitizing the amplitude values
c) All of the mentioned
d) None of the mentioned
20. Quantizing an image will reduce the amount of memory required for storage.
a) true
b) false
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
8/12
Computer Vision Final Revision (2)
21. For a continuous image f(x, y), Quantization is defined as
a) Digitizing the coordinate values
b) Digitizing the amplitude values
c) All of the mentioned
d) None of the mentioned
22. The quality of a digital image is well determined by ___________
a) The number of samples
b) The discrete gray levels
c) All of the mentioned
d) None of the mentioned
23. Dynamic range of imaging system is a ratio where the upper limit is determined by
a) Saturation
b) Noise
c) Brightness
d) Contrast
24. The most familiar single sensor used for Image Acquisition is
a) Microdensitometer
b) RAM
c) CMOS
d) None of the Mentioned
25. The section of the real plane represented by the coordinates of an image is called the
a) Spacial Domain
b) Coordinate Axes
c) Plane of Symmetry
d) None of the Mentioned
26. The process of using known data to estimate values at unknown locations is called
a) Acquisition
b) Interpolation
c) Pixelation
d) None of the Mentioned
27. What are the names of categories of color image processing?
a) Full-color and pseudo-color processing
b) Half-color and full-color processing
c) Half-color and pseudo-color processing
d) Pseudo-color and Multi-color processing
28. The color image processing is basically divided into ..... categories.
a) 3
b) 4
c) 2
d) 5
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
9/12
Computer Vision Final Revision (2)
29. What are the characteristics that are used to distinguish one color from the other?
a) Brightness, Hue and Saturation
b) Hue, Brightness and Intensity
c) Saturation, Hue
d) Brightness, Saturation and Intensity
30. What are the characteristics that are taken together in chromaticity?
a) Saturation and Brightness
b) Hue and Saturation
c) Hue and Brightness
d) Saturation, Hue and Brightness
31. Color model is also named as (another name):
a) Color space
b) Color gap
c) Color space & color system
d) Color system
32. How many bit RGB color image is represented by full-color image?
a) 32-bit RGB color image
b) 24-bit RGB color image
c) 16-bit RGB color image
d) 8-bit RGB color image
33. A low contrast image will have what kind of histogram,
a) The histogram that are concentrated on the dark side of gray scale
b) The histogram whose component are biased toward high side of gray scale
c) The histogram that is narrow and centered toward the middle of gray scale
d) The histogram that covers wide range of gray scale and the distribution of pixel is
approximately uniform
34. The technique of Enhancement that has a specified Histogram processed image as result, is called?
a) Histogram Linearization
b) Histogram Equalization
c) Histogram Matching
d) None of the mentioned
35. The two texture images shown below are quite different, Both images have size 80 × 80, with
black (0) and white (1) pixels.
the histogram of them is :
a) identical
b) different
c) smoothed
d) blurred
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
10 / 1 2
Computer Vision Final Revision (2)
36. Suppose we have a grayscale image, with most of the values of pixels being same. What can we
use to compress the size of image?
a) Encode the pixels with same values in a dictionary
b) Encode the sequence of values of pixels
c) No compression can be done
37. Blurred edges tend to be ---- , while Sharp edges tend to be --a) thick , thin
b) gray , thin
c) thick , high
d) thin , thick
38. In Recognition & Interpretation process, representing region based on:
a) the external characteristics only (its boundary)  shape characteristics
b) the internal characteristics only (its region)
 regional properties
c) Both external and internal characteristics
d) Non of the previous
39. Lossy compression is useful in
(A) Military imaging
(B) Space imaging
(C) Medical imaging
(D) Television broad casting
40. Which of the following file formats is an example of lossy compression only?
(A) GIF
(B) PNG
(C) JPEG
(D) TIFF
41. Digitizing the amplitude values is called
(A) uniform sampling
(B) non uniform sampling
(C) quantization
(D) sampling
42. Transformations that removes inter pixel redundancy are referred as
(A) Noise
(B) Mapping
(C) Filters
(D) Relations
43. JPEG is a lossy image compression technique
a) TRUE
b) FASE
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
11 / 1 2
Computer Vision Final Revision (2)
44. Which of the following is not a medical application of digital image processing?
A) Ultrasonic scanning
B) Cineangiograms
C) CCTV
D) Nuclear Magnetic Resonance
45. In RGBA mode of color representation, what does A represent?
A) Depth of an image
B) Intensity of colors
C) Opacity of an image
D) None of the above
46. Which of the following filter passes low frequencies?
a) High pass filter
b) Low pass filter
c) Band pass filter
d) None of the above
47. Which of the following color models are used for color printing?
a) CMY
b) CMYK
c) RGB
d) Both A & B
48. What type of noise in the image:
a) salt-and-pepper noise.
b) Gaussian Noise
c) gamma Noise
d) Uniform Noise
With my Best Wishes
Dr Ghada Hamissa 2020
Prepared by:
Dr Ghada Hamissa 2020
KSU university -Faculty of Engineering (Computer Eng. & Control Dept.)
12 / 1 2