Top 150+ Solved Digital Image Processing (DIP) MCQ Questions Answer
Q. What is the difference between Convolution and Correlation?
a. image is pre-rotated by 180 degree for correlation
b. image is pre-rotated by 180 degree for convolution
c. image is pre-rotated by 90 degree for correlation
d. image is pre-rotated by 90 degree for convolution
Q. Convolution and Correlation are functions of __________________.
a. distance
b. time
c. intensity
d. displacement
Q. 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
Q. Which of the following involves Correlation?
a. matching
b. key-points
c. blobs
d. none of the mentione
Q. An example of a continuous function of two variables is _____________
a. identity function
b. intensity function
c. contrast stretching
d. gaussian function
Q. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.
a. sum
b. product
c. average
d. dot product
Q. Averaging filters is also known as ____________ filter.
a. low pass
b. high pass
c. band pass
d. none of the mentioned
Q. What is the undesirable side effects of Averaging filters?
a. no side effects
b. blurred image
c. blurred edges
d. loss of sharp transitions
Q. A spatial averaging filter in which all coefficients are equal is called _______________.
a. square filter
b. neighbourhood
c. box filter
d. zero filter
Q. Which term is used to indicate that pixels are multiplied by different coefficients?
a. weighted average
b. squared average
c. spatial average
d. none of the mentioned
Q. The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.
a. box filter
b. square filter
c. gaussian filter
d. order-statistic filter
Q. Impulse noise in Order-statistic filter is also called as _______________.
a. median noise
b. bilinear noise
c. salt and pepper noise
d. none of the mentioned
Q. Best example for a Order-statistic filter is ____________________.
a. impulse filter
b. averaging filter
c. median filter
d. none of the mentioned
Q. What does “eliminated” refer to in median filter?
a. force to average intensity of neighbours
b. force to median intensity of neighbours
c. eliminate median value of pixels
d. none of the mentione
Q. Which of the following is best suited for salt-and-pepper noise elimination?
a. average filter
b. box filter
c. max filter
d. median filter