# Spatial Filtering Fundamental MCQ [Free PDF] – Objective Question Answer for Spatial Filtering Fundamental Quiz

1. What is accepting or rejecting certain frequency components called?

A. Filtering
B. Eliminating
C. Slicing
D. None of the Mentioned

Filtering is the process of accepting or rejecting certain frequency components.

2. A filter that passes low frequencies is _____________

A. Bandpass filter
B. High pass filter
C. Low pass filter
D. None of the Mentioned

The low pass filter passes low frequencies.

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

The process of moving a filter mask over the image and computing the sum of products at each location is called Correlation.

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

The standard deviation controls the “tightness” of the bell.

5. What is required to generate an M X N linear spatial filter?

B. M+N coordinates
C. MN spatial coefficients
D. None of the Mentioned

To generate an M X N linear spatial filter MN mask coefficients must be specified.

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

Convolution is the same as Correlation except that the image must be rotated by 180 degrees initially.

7. Convolution and Correlation are functions of _____________

A. Distance
B. Time
C. Intensity
D. Displacement

Convolution and Correlation are functions of 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

It is called Discrete unit impulse.

9. Which of the following involves Correlation?

A. Matching
B. Key-points
C. Blobs
D. None of the Mentioned.

Correlation is applied in finding matches.

10. An example of a continuous function of two variables is __________

A. Identity function
B. Intensity function
C. Contrast stretching
D. Gaussian function