Q1. Difference between the closing and the input image is known as ________?
Black top-hat transform
White top-hat transform
Hit or Miss
Closing
Answer: 1 Explanation: Difference between the closing and the input image is known as Black top-hat transform. Refer to this link to know more.
Q2. Which of the following Morphological operations output the object boundaries?
Erosion
Dilation
Morphological Gradient
Closing
Answer: 3 Explanation: As we know Morphological Gradient is the difference between the dilation and erosion of an image. Because dilation and erosion mostly affect the pixels that are close to the boundary between the foreground and background, their difference generally yields the boundary and thus this is used for edge detection and segmentation tasks.
Q3. What type of filters can be used for noise removal?
Low Pass filters
High Pass filters
Answer: 1 Explanation: Because low pass filters blocks the high-frequency parts of an image, and noise is a high frequency component so Low Pass filters can be used for noise removal.
Q4. Does using a separable filter reduces computational cost?
Yes
No
Answer: 1 Explanation: For instance, the Gaussian kernel is linearly separable. Because of this, the computational complexity is reduced from O(n^2) to O(n).
Q5. In contrast stretching, by changing the shape of the transformation function we can obtain/perform ________?
Min-Max stretching
Percentile stretching
Thresholding function
All of the above
Answer: 4 Explanation: Because Contrast Stretching uses a Piecewise Linear function so by changing the location of points we can obtain all the above mentioned functions.
Q6. Which technique expands the range of intensity levels in an image so that it spans the full intensity range of the display?
Contrast Stretching
Gamma Correction
Intensity Level Slicing
None of the above
Answer: 1 Explanation: Out of the above mentioned techniques, Contrast Stretching expands the range of intensity levels in an image.
Q7. Which of the following is an example of Affine Transformation?
Translation
Rotation
Scaling
All of the above
Answer: 4 Explanation: All of the above are examples of Affine Transformation as they preserves collinearity, parallelism as well as the ratio of distances between the points.
Q8. Which of the following is an additive color model?
RGB
CMYK
Both of the above
None of the above
Answer: 1 Explanation: In additive model the colors present in the light add to form new colors. For instance, in RGB color model, Red, Green, and Blue are added together in varying proportions to produce an extensive range of colors. To know more about additive models, refer to this link.