Image Processing
Unit-1 MCQ
Unit-1 MCQ
a) Optical
b) Digital
c) Electronic
d) Photographic
Answer: b
2. An image is considered to be a function of a(x,y), where a represents:
a) Height of image
Answer: b
2. An image is considered to be a function of a(x,y), where a represents:
a) Height of image
b) Width of image
c) Amplitude of image
d) Resolution of image
Answer: c
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
Answer: a
4. The range of values spanned by the gray scale is called:
a) Dynamic range
Answer: c
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
Answer: a
4. The range of values spanned by the gray scale is called:
a) Dynamic range
b) Band range
c) Peak range
d) Resolution range
Answer: a
5. Which is a colour attribute that describes a pure colour?
a) Saturation
Answer: a
5. Which is a colour attribute that describes a pure colour?
a) Saturation
b) Hue
c) Brightness
d) Intensity
Answer: b
6. What is the first and foremost step in Image Processing?
a) Image restoration b) Image enhancement c) Image acquisition d) Segmentation
Answer: c
7. In which step of processing, the images are subdivided successively into smaller regions?
a) Image enhancement
Answer: b
6. What is the first and foremost step in Image Processing?
a) Image restoration b) Image enhancement c) Image acquisition d) Segmentation
Answer: c
7. In which step of processing, the images are subdivided successively into smaller regions?
a) Image enhancement
b) Image acquisition
c) Segmentation
d) Wavelets
Answer: d
8. What is the next step in image processing after compression?
a) Wavelets
Answer: d
8. What is the next step in image processing after compression?
a) Wavelets
b) Segmentation
c) Representation and description
d) Morphological processing
Answer: d
9. What is the step that is performed before color image processing in image processing?
a) Wavelets and multi resolution processing
Answer: d
9. What is the step that is performed before color image processing in image processing?
a) Wavelets and multi resolution processing
b) Image enhancement
c) Image restoration
d) Image acquisition
Answer: c
10. How many number of steps are involved in image processing?
a) 10 b) 9 c) 11 d) 12
Answer: a
11. What is the expanded form of JPEG?
a) Joint Photographic Expansion Group
b) Joint Photographic Experts Group
c) Joint Photographs Expansion Group
d) Joint Photographic Expanded Group
Answer: b
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
Answer: c
10. How many number of steps are involved in image processing?
a) 10 b) 9 c) 11 d) 12
Answer: a
11. What is the expanded form of JPEG?
a) Joint Photographic Expansion Group
b) Joint Photographic Experts Group
c) Joint Photographs Expansion Group
d) Joint Photographic Expanded Group
Answer: b
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
Answer: d
13. In which step of the processing, assigning a label (e.g., “vehicle”) to an object based on its descriptors is done?
a) Object recognition
Answer: d
13. In which step of the processing, assigning a label (e.g., “vehicle”) to an object based on its descriptors is done?
a) Object recognition
b) Morphological processing
c) Segmentation d) Representation & description
Answer: a
14. What role does the segmentation play in image processing?
a) Deals with extracting attributes that result in some quantitative information of interest
b) Deals with techniques for reducing the storage required saving an image, or the bandwidth required transmitting it
c) Deals with partitioning an image into its constituent parts or objects
d) Deals with property in which images are subdivided successively into smaller regions
Answer: c
15. Which gives a measure of the degree to which a pure colour is diluted by white light?
a) Saturation
Answer: a
14. What role does the segmentation play in image processing?
a) Deals with extracting attributes that result in some quantitative information of interest
b) Deals with techniques for reducing the storage required saving an image, or the bandwidth required transmitting it
c) Deals with partitioning an image into its constituent parts or objects
d) Deals with property in which images are subdivided successively into smaller regions
Answer: c
15. 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
Answer: a
16. Which means the assigning meaning to a recognized object?
a) Interpretation
Answer: a
16. Which means the assigning meaning to a recognized object?
a) Interpretation
b) Recognition
c) Acquisition
d) Segmentation
Answer: a
17. The transition between continuous values of the image function and its digital equivalent is called ______________
a) Quantisation
Answer: a
17. The transition between continuous values of the image function and its digital equivalent is called ______________
a) Quantisation
b) Sampling
c) Rasterisation
d) None of the Mentioned
Answer: a
18. Images quantised with insufficient brightness levels will lead to the occurrence of ____________
Answer: a
18. Images quantised with insufficient brightness levels will lead to the occurrence of ____________
a) Pixillation
b) Blurring
c) False Contours
d) None of the Mentioned
Answer: c
19. The smallest discernible change in intensity level is called ____________
Answer: c
19. The smallest discernible change in intensity level is called ____________
a) Intensity Resolution
b) Contour
c) Saturation
d) Contrast
Answer: a
20. What is the tool used in tasks such as zooming, shrinking, rotating, etc.?
a) Sampling
b) Interpolation
c) Filters
d) None of the Mentioned
Answer: b
21. The type of Interpolation where for each new location the intensity of the immediate pixel is assigned is ___________
Answer: b
21. The type of Interpolation where for each new location the intensity of the immediate pixel is assigned is ___________
a) bicubic interpolation
b) cubic interpolation
c) bilinear interpolation
d) nearest neighbour interpolation
Answer: d
22. The type of Interpolation where the intensity of the FOUR neighbouring pixels is used to obtain intensity a new location is called ___________
Answer: d
22. The type of Interpolation where the intensity of the FOUR neighbouring pixels is used to obtain intensity a new location is called ___________
a) cubic interpolation
b) nearest neighbour interpolation
c) bilinear interpolation
d) bicubic interpolation
Answer: b
23. Dynamic range of imaging system is a ratio where the upper limit is determined by
a) Saturation
Answer: b
23. Dynamic range of imaging system is a ratio where the upper limit is determined by
a) Saturation
b) Noise
c) Brightness
d) Contrast
Answer: a
24. For Dynamic range ratio the lower limit is determined by
a) Saturation
Answer: a
24. For Dynamic range ratio the lower limit is determined by
a) Saturation
b) Brightness
c) Noise
d) Contrast
Answer: c
25. Histogram equalization or Histogram linearization is represented by of the following equation:
a) sk =Σk j =1 nj/n k=0,1,2,……,L-1
b) sk =Σk j =0 nj/n k=0,1,2,……,L-1
c) sk =Σk j =0 n/nj k=0,1,2,……,L-1
d) sk =Σk j =n nj/n k=0,1,2,……,L-1
Answer: b
26. What is the method that is used to generate a processed image that have a specified histogram?
a) Histogram linearization
Answer: c
25. Histogram equalization or Histogram linearization is represented by of the following equation:
a) sk =Σk j =1 nj/n k=0,1,2,……,L-1
b) sk =Σk j =0 nj/n k=0,1,2,……,L-1
c) sk =Σk j =0 n/nj k=0,1,2,……,L-1
d) sk =Σk j =n nj/n k=0,1,2,……,L-1
Answer: b
26. What is the method that is used to generate a processed image that have a specified histogram?
a) Histogram linearization
b) Histogram equalization
c) Histogram matching d) Histogram processing
Answer: c
27. Histograms are the basis for numerous spatial domain processing techniques.
a) True
b) False
Answer: a
Answer: a
28. When is the contrast stretching transformation a thresholding function, for r and s as gray-value of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowed
c) r1 = 1 and r2 = 0
d) None of the mentioned
Answer: b
29. What condition prevents the intensity artifacts to be created while processing with contrast stretching, if r and s are gray-values of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowe
c) r1 = 1 and r2 = 0
d) r1 ≤ r2 and s1 ≤ s2
Answer: d
30. A contrast stretching result been obtained by setting (r1, s1) = (rmin, 0) and (r2, s2) = (rmax, L – 1), where, r and s are gray-values of image before and after processing respectively,
L is the max gray value allowed and rmax and rmin are maximum and minimum gray-values in image respectively. What should we term the transformation function if r1 = r2 = m, some mean gray-value.
a) Linear function
Answer: c
27. Histograms are the basis for numerous spatial domain processing techniques.
a) True
b) False
Answer: a
Answer: a
28. When is the contrast stretching transformation a thresholding function, for r and s as gray-value of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowed
c) r1 = 1 and r2 = 0
d) None of the mentioned
Answer: b
29. What condition prevents the intensity artifacts to be created while processing with contrast stretching, if r and s are gray-values of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowe
c) r1 = 1 and r2 = 0
d) r1 ≤ r2 and s1 ≤ s2
Answer: d
30. A contrast stretching result been obtained by setting (r1, s1) = (rmin, 0) and (r2, s2) = (rmax, L – 1), where, r and s are gray-values of image before and after processing respectively,
L is the max gray value allowed and rmax and rmin are maximum and minimum gray-values in image respectively. What should we term the transformation function if r1 = r2 = m, some mean gray-value.
a) Linear function
b) Thresholding function
c) Intermediate function
d) None of the mentioned
Answer: b
31. A specific range of gray-levels highlighting is the basic idea of __________
a) Contrast stretching
Answer: b
31. A specific range of gray-levels highlighting is the basic idea of __________
a) Contrast stretching
b) Bit –plane slicing
c) Thresholding
d) Gray-level slicing
Answer: d
32. What is/are the approach(s) of the gray-level slicing?
a) To give all gray level of a specific range high value and a low value to all other gray levels
b) To brighten the pixels gray-value of interest and preserve the background
c) All of the mentioned
d) None of the mentioned
Answer: c
33. Specific bit contribution in the image highlighting is the basic idea of __________
a) Contrast stretching
Answer: d
32. What is/are the approach(s) of the gray-level slicing?
a) To give all gray level of a specific range high value and a low value to all other gray levels
b) To brighten the pixels gray-value of interest and preserve the background
c) All of the mentioned
d) None of the mentioned
Answer: c
33. Specific bit contribution in the image highlighting is the basic idea of __________
a) Contrast stretching
b) Bit –plane slicing
c) Thresholding
d) Gray-level slicing
Answer: b
34. Which of the following helps to obtain the number of bits to be used to quantize each pixel.
a) Gray-level slicing
Answer: b
34. Which of the following helps to obtain the number of bits to be used to quantize each pixel.
a) Gray-level slicing
b) Contrast stretching
c) Contouring
d) Bit-plane slicing
Answer: d
35. Which of the following in an image can be removed by using smoothing filter?
a) Smooth transitions of gray levels
b) Smooth transitions of brightness levels
c) Sharp transitions of gray levels
d) Sharp transitions of brightness levels
Answer: c
36. In a dark image, the components of histogram are concentrated on which side of the grey scale?
a) High b) Medium c) Low d) Evenly distributed
Answer: d
35. Which of the following in an image can be removed by using smoothing filter?
a) Smooth transitions of gray levels
b) Smooth transitions of brightness levels
c) Sharp transitions of gray levels
d) Sharp transitions of brightness levels
Answer: c
36. In a dark image, the components of histogram are concentrated on which side of the grey scale?
a) High b) Medium c) Low d) Evenly distributed
Answer: c
37. Which of the following is the primary objective of sharpening of an image?
a) Blurring the image
b) Highlight fine details in the image
c) Increase the brightness of the image
d) Decrease the brightness of the image
Answer: b
38. Image sharpening process is used in electronic printing.
a) True
37. Which of the following is the primary objective of sharpening of an image?
a) Blurring the image
b) Highlight fine details in the image
c) Increase the brightness of the image
d) Decrease the brightness of the image
Answer: b
38. Image sharpening process is used in electronic printing.
a) True
b) False
Answer: a
39. In spatial domain, which of the following operation is done on the pixels in sharpening the image?
a) Integration
Answer: a
39. In spatial domain, which of the following operation is done on the pixels in sharpening the image?
a) Integration
b) Average
c) Median
d) Differentiation
Answer: d
40. Image differentiation enhances the edges, discontinuities and deemphasizes the pixels with slow varying gray levels.
a) True
Answer: d
40. Image differentiation enhances the edges, discontinuities and deemphasizes the pixels with slow varying gray levels.
a) True
b) False
Answer: a
41. In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?
a) Flat segments
41. In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?
a) Flat segments
b) Step discontinuities
c) Ramp discontinuities
d) Slow varying gray values
Answer: d
42. Which of the following is the valid response when we apply a first derivative?
a) Non-zero at flat segments
b) Zero at the onset of gray level step
c) Zero in flat segments
d) Zero along ramps
Answer: c
43. Which of the following is not a valid response when we apply a second derivative?
a) Zero response at onset of gray level step
b) Nonzero response at onset of gray level step
c) Zero response at flat segments
d) Nonzero response along the ramps
Answer: b
44. If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is:
a) f(x+1)-f(x)
b) f(x)-f(x+1)
c) f(x-1)-f(x+1)
d) f(x)+f(x-1)
Answer: a
45. Isolated point is also called as noise point.
a) True
Answer: d
42. Which of the following is the valid response when we apply a first derivative?
a) Non-zero at flat segments
b) Zero at the onset of gray level step
c) Zero in flat segments
d) Zero along ramps
Answer: c
43. Which of the following is not a valid response when we apply a second derivative?
a) Zero response at onset of gray level step
b) Nonzero response at onset of gray level step
c) Zero response at flat segments
d) Nonzero response along the ramps
Answer: b
44. If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is:
a) f(x+1)-f(x)
b) f(x)-f(x+1)
c) f(x-1)-f(x+1)
d) f(x)+f(x-1)
Answer: a
45. Isolated point is also called as noise point.
a) True
b) False
Answer: a
46. What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives?
a) Finer
b) Equal
c) Thicker
d) Independent
Answer: c
47. First order derivative can enhance the fine detail in the image compared to that of second order derivative.
a) True
b) False
Answer: b
48. Which of the following derivatives produce a double response at step changes in gray level?
a) First order derivative
b) Third order derivative
c) Second order derivative
d) First and second order derivatives
Answer: c
49. Which gray-level transformation increase the dynamic range of gray-level in the image?
a) Power-law transformations
b) Negative transformations
c) Contrast stretching
d) None of the mentioned
Answer: c
50. When is the contrast stretching transformation a linear function, for r and s as gray-value of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowed
c) r1 = 1 and r2 = 0
d) None of the mentioned
Answer: a
Answer: a
46. What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives?
a) Finer
b) Equal
c) Thicker
d) Independent
Answer: c
47. First order derivative can enhance the fine detail in the image compared to that of second order derivative.
a) True
b) False
Answer: b
48. Which of the following derivatives produce a double response at step changes in gray level?
a) First order derivative
b) Third order derivative
c) Second order derivative
d) First and second order derivatives
Answer: c
49. Which gray-level transformation increase the dynamic range of gray-level in the image?
a) Power-law transformations
b) Negative transformations
c) Contrast stretching
d) None of the mentioned
Answer: c
50. When is the contrast stretching transformation a linear function, for r and s as gray-value of image before and after processing respectively?
a) r1 = s1 and r2 = s2
b) r1 = r2, s1 = 0 and s2 = L – 1, L is the max gray value allowed
c) r1 = 1 and r2 = 0
d) None of the mentioned
Answer: a
No comments:
Post a Comment