MCQOPTIONS
Saved Bookmarks
This section includes 179 Mcqs, each offering curated multiple-choice questions to sharpen your Microprocessors knowledge and support exam preparation. Choose a topic below to get started.
| 51. |
The coefficients of masks sum to |
| A. | 0 |
| B. | 1 |
| C. | positive |
| D. | negative |
| Answer» B. 1 | |
| 52. |
Image whose principle features are edges is called |
| A. | orthogonal |
| B. | isolated |
| C. | edge map |
| D. | edge normal |
| Answer» D. edge normal | |
| 53. |
Second derivatives in image segmentation produces |
| A. | thick edges |
| B. | thin edges |
| C. | fine edges |
| D. | rough edges |
| Answer» D. rough edges | |
| 54. |
Line whose length and width is of one pixel is called |
| A. | area |
| B. | points |
| C. | isolated point |
| D. | edge |
| Answer» D. edge | |
| 55. |
What is the Euler number of the region shown in the figure below? |
| A. | 1 |
| B. | -2 |
| C. | -1 |
| D. | 2 |
| Answer» C. -1 | |
| 56. |
Intersection between zero intensity and extreme of second derivative is called |
| A. | discontinuity |
| B. | similarity |
| C. | continuity |
| D. | zero crossing |
| Answer» E. | |
| 57. |
One that is not a method of image segmentation is |
| A. | area |
| B. | line |
| C. | point |
| D. | edge |
| Answer» B. line | |
| 58. |
Which of the following techniques is based on the Fourier transform? |
| A. | Structural |
| B. | Spectral |
| C. | Statistical |
| D. | Topological |
| Answer» C. Statistical | |
| 59. |
If inside the boundary is white otherwise black predicate is |
| A. | TRUE |
| B. | FALSE |
| C. | 1 |
| D. | 0 |
| Answer» B. FALSE | |
| 60. |
For finding edge strength approach that is used is |
| A. | discontinuity |
| B. | constant intensities |
| C. | continuity |
| D. | gradient |
| Answer» E. | |
| 61. |
Thresholding is the example of |
| A. | discontinuity |
| B. | similarity |
| C. | continuity |
| D. | recognition |
| Answer» C. continuity | |
| 62. |
Image intensities are normally ranged to |
| A. | [0 1] |
| B. | [0 2] |
| C. | [0 255] |
| D. | [0 256] |
| Answer» B. [0 2] | |
| 63. |
Dividing image into its objects is called |
| A. | Division |
| B. | segmentation |
| C. | extraction |
| D. | recognition |
| Answer» C. extraction | |
| 64. |
Discontinuity approach of segmentation depends upon |
| A. | low frequencies |
| B. | smooth changes |
| C. | abrupt changes |
| D. | contrast |
| Answer» D. contrast | |
| 65. |
Example of similarity approach in image segmentation is |
| A. | edge based segmentation |
| B. | boundary based segmentation |
| C. | region based segmentation |
| D. | Both a and b |
| Answer» D. Both a and b | |
| 66. |
Edge localization id edge detection's |
| A. | 1st point |
| B. | 2nd point |
| C. | 3rd point |
| D. | 4th point |
| Answer» D. 4th point | |
| 67. |
Pixels where intensity changes abruptly are called |
| A. | area pixels |
| B. | line pixels |
| C. | point pixels |
| D. | edge pixels |
| Answer» E. | |
| 68. |
Slope of the ramp and degree of blurring are |
| A. | directly proportional |
| B. | inversely proportional |
| C. | indirectly proportional |
| D. | exponentially proportional |
| Answer» C. indirectly proportional | |
| 69. |
The texture of the region provides measure of which of the following properties? |
| A. | Smoothness alone |
| B. | Coarseness alone |
| C. | Regularity alone |
| D. | Smoothness, coarseness and regularity |
| Answer» E. | |
| 70. |
The magnitude of vector is its |
| A. | distance |
| B. | length |
| C. | strength |
| D. | edge |
| Answer» C. strength | |
| 71. |
Marr hildreth method was introduced for |
| A. | sharpening |
| B. | segmentation |
| C. | edge finding |
| D. | recognition |
| Answer» D. recognition | |
| 72. |
Digital images have edges that are |
| A. | blur |
| B. | noisy |
| C. | clear |
| D. | Both a and b |
| Answer» E. | |
| 73. |
Gradient image is formed by the component |
| A. | Gx |
| B. | Gy |
| C. | Gt |
| D. | Both a and b |
| Answer» E. | |
| 74. |
For edge detection we observes |
| A. | intensity transition |
| B. | shape transition |
| C. | color transition |
| D. | sign transition |
| Answer» E. | |
| 75. |
If R is the entire region of the image then union of all segmented parts should be equal to |
| A. | R |
| B. | R' |
| C. | Ri |
| D. | Rn |
| Answer» B. R' | |
| 76. |
First derivative approximation says that values of intensities at the onset must be |
| A. | nonzero |
| B. | zero |
| C. | positive |
| D. | negative |
| Answer» B. zero | |
| 77. |
Gradient of an image is obtained through |
| A. | differentiation |
| B. | derivation |
| C. | partial derivation |
| D. | integration |
| Answer» D. integration | |
| 78. |
Computation of derivatives in segmentation is also called |
| A. | spatial filtering |
| B. | frequency filtering |
| C. | low pass filtering |
| D. | high pass filtering |
| Answer» B. frequency filtering | |
| 79. |
Method in which images are input and attributes are output is called |
| A. | low level processes |
| B. | high level processes |
| C. | mid level processes |
| D. | edge level processes |
| Answer» D. edge level processes | |
| 80. |
Transition of intensity takes place between |
| A. | adjacent pixels |
| B. | near pixels |
| C. | edge pixels |
| D. | line pixels |
| Answer» B. near pixels | |
| 81. |
Step edge transition is between pixels over the distance of |
| A. | 1 pixel |
| B. | 2 pixels |
| C. | 3 pixels |
| D. | 4 pixels |
| Answer» B. 2 pixels | |
| 82. |
Second derivative approximation says that it is nonzero only at |
| A. | ramp |
| B. | step |
| C. | onset |
| D. | edges |
| Answer» D. edges | |
| 83. |
Sobel gradient is not that good for detection of |
| A. | horizontal lines |
| B. | vertical lines |
| C. | Diagonal lines |
| D. | edges |
| Answer» D. edges | |
| 84. |
Blurring attenuate the |
| A. | pixels |
| B. | points |
| C. | cross gradient |
| D. | intensity |
| Answer» E. | |
| 85. |
A line is viewed as |
| A. | area |
| B. | edge segment |
| C. | point |
| D. | edge |
| Answer» C. point | |
| 86. |
Topological properties don’t depend on the distance measures. |
| A. | True |
| B. | False |
| C. | May be |
| D. | Can't Say |
| Answer» B. False | |
| 87. |
Second derivative approximation says that values of constant intensities must be |
| A. | 1 |
| B. | 0 |
| C. | positive |
| D. | negative |
| Answer» C. positive | |
| 88. |
Smoothness reduced the bricks of |
| A. | pixels |
| B. | constant intensities |
| C. | point pixels |
| D. | edges |
| Answer» E. | |
| 89. |
Electronic components determines the image's |
| A. | pixels |
| B. | noise |
| C. | thickness |
| D. | thinness |
| Answer» C. thickness | |
| 90. |
Regions of the image must be |
| A. | joint |
| B. | disjoint |
| C. | connected |
| D. | overlapped |
| Answer» C. connected | |
| 91. |
Compactness is insensitive to orientation. |
| A. | True |
| B. | False |
| C. | May be |
| D. | Can't Say |
| Answer» B. False | |
| 92. |
LOG stands for |
| A. | laplacian of Gaussian |
| B. | length of Gaussian |
| C. | laplacian of gray level |
| D. | length of gray level |
| Answer» B. length of Gaussian | |
| 93. |
In the sense of predicate two regions of the image must be |
| A. | same |
| B. | disjoint |
| C. | different |
| D. | overlapped |
| Answer» D. overlapped | |
| 94. |
Detection of edge points is edge detection's |
| A. | 1st point |
| B. | 2nd point |
| C. | 3rd point |
| D. | 4th point |
| Answer» C. 3rd point | |
| 95. |
Success of image segmentation is determined by its |
| A. | quality |
| B. | size |
| C. | accuracy |
| D. | pixels |
| Answer» D. pixels | |
| 96. |
One that is more sensitive to noise is |
| A. | first derivative |
| B. | second derivative |
| C. | third derivative |
| D. | Both a and b |
| Answer» C. third derivative | |
| 97. |
Response of derivative mask is zero at |
| A. | sharp intensities |
| B. | constant intensities |
| C. | low intensities |
| D. | high intensities |
| Answer» C. low intensities | |
| 98. |
During segmentation every pixel of an image should be in |
| A. | connected set |
| B. | boundaries |
| C. | region |
| D. | concerned area |
| Answer» D. concerned area | |
| 99. |
Sobel operators were introduced in |
| A. | 1970 |
| B. | 1971 |
| C. | 1972 |
| D. | 1973 |
| Answer» B. 1971 | |
| 100. |
Local averaging |
| A. | smooths image |
| B. | sharps image |
| C. | darkens image |
| D. | blurs image |
| Answer» B. sharps image | |