Q1. Which domain refers to the Fourier transform of an image?
Spatial domain
Frequency domain
Answer: 2 Explanation: In transform domain we first transform an image into another domain (like frequency) by applying for instance Fourier transform, do processing there and convert it back to the spatial domain by some inverse operations.
Q2. Which of the following 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.
Q3. Which of the following OpenCV functions can be used to perform convolution operations?
cv2.filter2D()
cv2.convolve()
cv2.filter()
cv2.conv2D()
Answer: 1 Explanation: In OpenCV, cv2.filter2D() can be used to perform convolution operation. Refer to this link to know more about this function.
Q4. Which color model is used in printing?
Additive color model
Subtractive color model
Answer: 2 Explanation: Subtractive color model (CMYK) is used in printing. Refer to this link to know more.
Q5. Which domain refers to the image plane itself?
Spatial domain
Frequency domain
Answer: 1 Explanation: Spatial domain refers to the image plane. This means we perform all operations directly on image pixels.
Q6. In the dilation operation, generally the output image features becomes ________ ?
Thinner
Thicker
Blurred
Sharpened
Answer: 2 Explanation: Because Dilation dilates or expands the object region, the output image features becomes thicker. Refer to this link to know more.
Q7. Dilation is the ________ of Erosion?
dual
rotated version
translated version
neighbor
Answer: 1 Explanation: Dilation is the dual of erosion. Dual in the sense that dilating the object region is equivalent to eroding the background region and vice versa.
Q8. What type of filters results in image sharpening?
Low Pass filters
High Pass filters
Answer: 2 Explanation: Because high pass filters enhances the high-frequency parts of an image, these results in image sharpening.