MCQOPTIONS
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MCQOPTIONS
This section includes 22 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Image Processing knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
The transformation T (rk) = ∑k(j=0) nj /n, k = 0, 1, 2, …, L-1, where L is max gray value possible and r-k is the kth gray level, is called _______ |
| A. | Histogram linearization |
| B. | Histogram equalization |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 2. |
For the transformation T(r) = [∫0r pr(w) dw], r is gray value of input image, pr(r) is PDF of random variable r and w is a dummy variable. If, the PDF are always positive and that the function under integral gives the area under the function, the transformation is said to be __________ |
| A. | Single valued |
| B. | Monotonically increasing |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 3. |
What is the full form of CDF? |
| A. | Cumulative density function |
| B. | Contour derived function |
| C. | Cumulative distribution function |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 4. |
What is the full form for PDF, a fundamental descriptor of random variables i.e. gray values in an image? |
| A. | Pixel distribution function |
| B. | Portable document format |
| C. | Pel deriving function |
| D. | Probability density function |
| Answer» E. | |
| 5. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is satisfying 0 ≤ T(r) ≤ 1 in interval 0 ≤ r ≤ 1, what does it signifies? |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 6. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is monotonically increasing in interval 0 ≤ r ≤ 1, what does it signifies? |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» C. It guarantees that the output gray level and the input gray level will be in same range | |
| 7. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is single valued in interval 0 ≤ r ≤ 1, what does it signifies? |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» B. It is needed to restrict producing of some inverted gray levels in output | |
| 8. |
A high contrast image and a dark image will have what kind of histogram respectively, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? The histogram that are concentrated on the dark side of gray scale. The histogram whose component are biased toward high side of gray scale. The histogram that is narrow and centered toward the middle of gray scale. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform. |
| A. | I) And II) respectively |
| B. | III) And II) respectively |
| C. | II) And IV) respectively |
| D. | IV) And I) respectively |
| Answer» E. | |
| 9. |
A bright image will have what kind of histogram, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? |
| 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 |
| Answer» C. The histogram that is narrow and centered toward the middle of gray scale | |
| 10. |
A low contrast image will have what kind of histogram when, the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? |
| 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 |
| Answer» D. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform | |
| 11. |
If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range [0, L – 1]. Then how can we normalize a histogram? |
| A. | If each value of histogram is added by total number of pixels in image, say n, p(rk)=nk+n |
| B. | If each value of histogram is subtracted by total number of pixels in image, say n, p(rk)=nk-n |
| C. | If each value of histogram is multiplied by total number of pixels in image, say n, p(rk)=nk * n |
| D. | If each value of histogram is divided by total number of pixels in image, say n, p(rk)=nk / n |
| Answer» E. | |
| 12. |
WHAT_IS_THE_FULL_FORM_FOR_PDF,_A_FUNDAMENTAL_DESCRIPTOR_OF_RANDOM_VARIABLES_I.E._GRAY_VALUES_IN_AN_IMAGE??$ |
| A. | Pixel distribution function |
| B. | Portable document format |
| C. | Pel deriving function |
| D. | Probability density function |
| Answer» E. | |
| 13. |
For the transformation T(r) = [‚à´0r pr(w) dw], r is gray value of input image, pr(r) is PDF of random variable r and w is a dummy variable. If, the PDF are always positive and that the function under integral gives the area under the function, the transformation is said to be __________$# |
| A. | Single valued |
| B. | Monotonically increasing |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 14. |
What_is_the_full_form_of_CDF?$ |
| A. | Cumulative density function |
| B. | Contour derived function |
| C. | Cumulative distribution function |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 15. |
If the histogram of same images, with different contrast, are different, then what is the relation between the histogram equalized images? |
| A. | They look visually very different from one another |
| B. | They look visually very similar to one another |
| C. | They look visually different from one another just like the input images |
| D. | None of the mentioned |
| Answer» C. They look visually different from one another just like the input images | |
| 16. |
The_transformation_T_(rk)_=_∑k(j=0)_nj_/n,_k_=_0,_1,_2,_…,_L-1,_where_L_is_max_gray_value_possible_and_r-k_is_the_kth_gray_level,_is_called________$ |
| A. | Histogram linearization |
| B. | Histogram equalization |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 17. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is satisfying 0 ≤ T(r) ≤ 1 in interval 0 ≤ r ≤ 1, what does it signifies?# |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 18. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is monotonically increasing in interval 0 ≤ r ≤ 1, what does it signifies?# |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» C. It guarantees that the output gray level and the input gray level will be in same range | |
| 19. |
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is single valued in interval 0 ≤ r ≤ 1, what does it signifies?$ |
| A. | It guarantees the existence of inverse transformation |
| B. | It is needed to restrict producing of some inverted gray levels in output |
| C. | It guarantees that the output gray level and the input gray level will be in same range |
| D. | All of the mentioned |
| Answer» B. It is needed to restrict producing of some inverted gray levels in output | |
| 20. |
A low contrast image will have what kind of histogram when, the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? |
| A. | The histogram that are concentrated on the dar<sub>k</sub> 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 |
| Answer» D. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform | |
| 21. |
What is the sum of all components of a normalized histogram? |
| A. | 1 |
| B. | -1 |
| C. | 0 |
| D. | None of the mentioned |
| Answer» B. -1 | |
| 22. |
If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range [0, L – 1]. Then how can we normalize a histogram? |
| A. | If each value of histogram is added by total number of pixels in image, say n, p(r<sub>k</sub>)=n<sub>k</sub>+n |
| B. | If each value of histogram is subtracted by total number of pixels in image, say n, p(r<sub>k</sub>)=n<sub>k</sub>-n |
| C. | If each value of histogram is multiplied by total number of pixels in image, say n, p(r<sub>k</sub>)=n<sub>k</sub> * n |
| D. | If each value of histogram is divided by total number of pixels in image, say n, p(r<sub>k</sub>)=n<sub>k</sub> / n |
| Answer» E. | |