1. What is accepting or rejecting certain frequency components called?
A. Filtering
B. Eliminating
C. Slicing
D. None of the Mentioned
2. A filter that passes low frequencies is _____________
A. Bandpass filter
B. High pass filter
C. Low pass filter
D. None of the Mentioned
3. What is the process of moving a filter mask over the image and computing the sum of products at each location called as?
A. Convolution
B. Correlation
C. Linear spatial filtering
D. Non-linear spatial filtering
4. The standard deviation controls ___________ of the bell (2-D Gaussian function of bell shape).
A. Size
B. Curve
C. Tightness
D. None of the Mentioned
5. What is required to generate an M X N linear spatial filter?
A. MN mask coefficients
B. M+N coordinates
C. MN spatial coefficients
D. None of the Mentioned
6. What is the difference between Convolution and Correlation?
A. Image is pre-rotated by 180 degrees for Correlation
B. Image is pre-rotated by 180 degrees for Convolution
C. Image is pre-rotated by 90 degrees for Correlation
D. Image is pre-rotated by 90 degrees for Convolution
7. Convolution and Correlation are functions of _____________
A. Distance
B. Time
C. Intensity
D. Displacement
8. The function that contains a single 1 with the rest being 0s is called ______________
A. Identity function
B. Inverse function
C. Discrete unit impulse
D. None of the Mentioned
9. Which of the following involves Correlation?
A. Matching
B. Key-points
C. Blobs
D. None of the Mentioned.
10. An example of a continuous function of two variables is __________
A. Identity function
B. Intensity function
C. Contrast stretching
D. Gaussian function