MCQOPTIONS
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MCQOPTIONS
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.
| 101. |
Points exceeding the threshold in output image are marked as |
| A. | 0 |
| B. | 1 |
| C. | 11 |
| D. | x |
| Answer» C. 11 | |
| 102. |
On ramp and step second derivatives produce |
| A. | single edge effect |
| B. | single effect |
| C. | double edge effect |
| D. | double line effect |
| Answer» D. double line effect | |
| 103. |
The direction of angle to the gradient is |
| A. | orthogonal |
| B. | isolated |
| C. | isomorphic |
| D. | isotropic |
| Answer» B. isolated | |
| 104. |
Intensity's local changes can be detected through |
| A. | differentiation |
| B. | derivation |
| C. | addition |
| D. | integration |
| Answer» C. addition | |
| 105. |
Vertical lines are angles at |
| A. | 0 |
| B. | 30 |
| C. | 45 |
| D. | 90 |
| Answer» E. | |
| 106. |
Intersection of two connected sets of an image should be |
| A. | connected set |
| B. | empty set |
| C. | union |
| D. | complement |
| Answer» C. union | |
| 107. |
In laplacian images dark shades of gray level is represented by |
| A. | 0 |
| B. | 1 |
| C. | positive |
| D. | negative |
| Answer» E. | |
| 108. |
Edges arise between thin objects and backgrounds are |
| A. | ramp edges |
| B. | step edge |
| C. | roof edges |
| D. | thinness of edges |
| Answer» D. thinness of edges | |
| 109. |
The preferred direction of mask is weighted with the |
| A. | low value coefficients |
| B. | high value coefficients |
| C. | mid value coefficients |
| D. | double value coefficients |
| Answer» C. mid value coefficients | |
| 110. |
In laplacian images light shades of gray level is represented by |
| A. | 0 |
| B. | 1 |
| C. | positive |
| D. | negative |
| Answer» D. negative | |
| 111. |
Horizontal lines are angles at |
| A. | 0 |
| B. | 30 |
| C. | 45 |
| D. | 90 |
| Answer» B. 30 | |
| 112. |
Standard deviation is referred to as noiseless if having the value |
| A. | 0.1 |
| B. | 0.2 |
| C. | 0.3 |
| D. | 0.4 |
| Answer» B. 0.2 | |
| 113. |
For noise reduction we use |
| A. | image smoothing |
| B. | image contouring |
| C. | image enhancement |
| D. | image recognition |
| Answer» B. image contouring | |
| 114. |
Gradient magnitude images are more useful in |
| A. | point detection |
| B. | line detection |
| C. | area detection |
| D. | edge detection |
| Answer» E. | |
| 115. |
Ri is a connected set, where is |
| A. | 1,2,3,4 |
| B. | 1,2,3…10 |
| C. | 1,2,3…50 |
| D. | 1,2,3…n |
| Answer» E. | |
| 116. |
To avoid the negative values in lapacian image we use only |
| A. | absolute values |
| B. | positive values |
| C. | negative values |
| D. | Both a and b |
| Answer» C. negative values | |
| 117. |
What is the Euler number of the image shown below? |
| A. | 0 |
| B. | 1 |
| C. | 2 |
| D. | -1 |
| Answer» E. | |
| 118. |
For edge detection we use |
| A. | first derivative |
| B. | second derivative |
| C. | third derivative |
| D. | Both a and b |
| Answer» B. second derivative | |
| 119. |
Masks for detection of specific lines are called |
| A. | isolated |
| B. | tuned |
| C. | isomorphic |
| D. | isotropic |
| Answer» C. isomorphic | |
| 120. |
Gradient vector is also called |
| A. | edge based segmentation |
| B. | edge segment |
| C. | edge pixels |
| D. | edge normal |
| Answer» E. | |
| 121. |
Locating the center of thick edges we use |
| A. | discontinuity |
| B. | constant intensities |
| C. | continuity |
| D. | zero crossing |
| Answer» E. | |
| 122. |
Fine details can be reduced by |
| A. | sharpening |
| B. | constant intensities |
| C. | smoothing |
| D. | contrast |
| Answer» D. contrast | |
| 123. |
Laplacian images need |
| A. | contraction |
| B. | expansion |
| C. | scaling |
| D. | enhancement |
| Answer» D. enhancement | |
| 124. |
If all lines in the direction of defined direction of mask are wished to be found then we use |
| A. | thick edges |
| B. | thin edges |
| C. | thresholding |
| D. | enhancement |
| Answer» D. enhancement | |
| 125. |
Diagonal lines are angles at |
| A. | 0 |
| B. | 30 |
| C. | 45 |
| D. | 90 |
| Answer» D. 90 | |
| 126. |
For edge detection we combine gradient with |
| A. | sharpening |
| B. | set theory |
| C. | smoothing |
| D. | thresholding |
| Answer» E. | |
| 127. |
First derivative approximation says that value at ramp must be |
| A. | nonzero |
| B. | zero |
| C. | positive |
| D. | negative |
| Answer» B. zero | |
| 128. |
Laplacian detector is |
| A. | coupled |
| B. | isolated |
| C. | isomorphic |
| D. | isotropic |
| Answer» E. | |
| 129. |
Edge models are classified based upon their |
| A. | pixels |
| B. | edges |
| C. | intensities |
| D. | Both a and b |
| Answer» D. Both a and b | |
| 130. |
For diagonal edge detection we use 2D mask of |
| A. | sobel gradient |
| B. | Robert cross gradient |
| C. | cross gradient |
| D. | pre witt gradient |
| Answer» C. cross gradient | |
| 131. |
Isotropic detectors are independent of |
| A. | pixels |
| B. | directions |
| C. | intensities |
| D. | edges |
| Answer» C. intensities | |
| 132. |
Strong Heat signatures can be detected using |
| A. | infrared imaging |
| B. | x-ray imaging |
| C. | microwave imaging |
| D. | UV imaging |
| Answer» B. x-ray imaging | |
| 133. |
What is the Euler number of a region with polygonal network containing V,Q and F as the number of vertices, edges and faces respectively? |
| A. | V+Q+F |
| B. | V-Q+F |
| C. | V+Q-F |
| D. | V-Q-F |
| Answer» C. V+Q-F | |
| 134. |
Subdivision of the image depends upon the |
| A. | problem |
| B. | objects |
| C. | image |
| D. | partition |
| Answer» B. objects | |
| 135. |
Transition between objects and background shows |
| A. | ramp edges |
| B. | step edges |
| C. | sharp edges |
| D. | Both a and b |
| Answer» E. | |
| 136. |
Algorithm stating that boundaries of the image are different from background is |
| A. | discontinuity |
| B. | similarity |
| C. | extraction |
| D. | recognition |
| Answer» B. similarity | |
| 137. |
The vertical gradient pixels are denoted by |
| A. | Gx |
| B. | Gy |
| C. | Gt |
| D. | Gs |
| Answer» C. Gt | |
| 138. |
Averaging is analogous to |
| A. | differentiation |
| B. | derivation |
| C. | addition |
| D. | integration |
| Answer» E. | |
| 139. |
Accuracy of image segmentation can be improved by the type of |
| A. | processes |
| B. | images |
| C. | divisions |
| D. | sensors |
| Answer» E. | |
| 140. |
Image having gradient pixels is called |
| A. | sharp image |
| B. | blur image |
| C. | gradient image |
| D. | binary image |
| Answer» D. binary image | |
| 141. |
Image segmentation is also based on |
| A. | morphology |
| B. | set theory |
| C. | extraction |
| D. | recognition |
| Answer» B. set theory | |
| 142. |
First and second derivatives can be computed using |
| A. | spatial filters |
| B. | frequency filters |
| C. | low pass |
| D. | high pass |
| Answer» B. frequency filters | |
| 143. |
More smoothness is created by the mask of size |
| A. | 1x1 |
| B. | 2x2 |
| C. | 3x3 |
| D. | 5x5 |
| Answer» E. | |
| 144. |
Lines are referred as |
| A. | ramp edges |
| B. | step edges |
| C. | roof edges |
| D. | Both a and b |
| Answer» D. Both a and b | |
| 145. |
Lines in an image can be oriented at angle |
| A. | 0 |
| B. | 90 |
| C. | 30 |
| D. | Both a and b |
| Answer» E. | |
| 146. |
Model of lines through region is called |
| A. | ramp edges |
| B. | step edge |
| C. | roof edges |
| D. | thinness of edges |
| Answer» D. thinness of edges | |
| 147. |
What is the order of the shape number of a rectangular boundary with the dimensions of 3×3? |
| A. | 3 |
| B. | 6 |
| C. | 9 |
| D. | 12 |
| Answer» E. | |
| 148. |
Points other than exceeding the threshold in output image are marked as |
| A. | 0 |
| B. | 1 |
| C. | 11 |
| D. | x |
| Answer» B. 1 | |
| 149. |
The order of shape number for a closed boundary is: |
| A. | Odd |
| B. | Even |
| C. | 1 |
| D. | Any positive value |
| Answer» C. 1 | |
| 150. |
Segmentation is a process of |
| A. | low level processes |
| B. | high level processes |
| C. | mid level processes |
| D. | edge level processes |
| Answer» D. edge level processes | |