Answer: 1 Explanation: In Lab, L* stands for perceptual lightness, and a* and b* for the four unique colors of human vision: red, green, blue, and yellow. Refer to this link to know more.
Q2. In Nearest Neighbor, how many neighboring pixels are considered for calculating the intensity value for a new location?
3
1
2
0
Answer: 2 Explanation: As clear from the name, this method considers the nearest neighbor i.e. 1 pixel for calculating the intensity value for a new location. To know more about Nearest Neighbor, refer to this link.
Q3. _______ is used to keep the output image size similar to the input image during convolution operation?
Padding
Interpolation
Dilation
Erosion
Answer: 1 Explanation: Padding refers to the process of adding borders in an image with generally 0 valued pixels. Because during convolution the size of the image decreases so to prevent this we pad the original image.
Q4. What do you mean by Affine Transformation?
a geometric transformation that preserves collinearity and parallelism
a geometric transformation that preserves distances and angles but not collinearity
transformation that is associated with the change in viewpoint
a geometric transformation that preserves collinearity and distance but not parallelism
Answer: 1 Explanation: An affine transformation is any transformation that preserves collinearity, parallelism as well as the ratio of distances between the points (e.g. midpoint of a line remains the midpoint after transformation). It doesn’t necessarily preserve distances and angles. Refer to this link to know more.
Q5. Can we sharpen an image using a smoothing filter?
Yes
No
Answer: 1 Explanation: Yes, we can sharpen an image using a smoothing filter. For instance, both Unsharp Masking and Difference of Gaussian techniques both sharpen an image using a smoothing filter.
Q6. What do you mean by Domain filters?
in which the filter weights are assigned according to the spatial closeness
in which the filter weights are assigned according to the intensity difference
in which the filter weights are assigned both according to the spatial closeness and intensity difference
Answer: 1 Explanation: As clear from the name, Domain filters are the one in which the filter weights are assigned according to the spatial closeness (i.e. Domain)
Q7. Which of the following histogram techniques can be used for image segmentation?
Histogram Equalization
CLAHE
Histogram Backprojection
Histogram Specification
Answer: 3 Explanation: Histogram Backprojection can be used for image segmentation. To know more about Histogram Backprojection, refer to this link.
Q8. In general, the gradient in x-direction will find ________?
Horizontal edges
Vertical edges
Any type of edges
Gradient has no relation with edges
Answer: 2 Explanation: Because gradient refers to the directional change in intensity so the gradient in x-direction will find Vertical edges. Refer to this link to know more.