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