CVIP4

In neighborhood operations working is being done with the value of image pixel in the neighborhood and the corresponding value of a subimage that has same dimension as neighborhood. The subimage is referred as _________

• Filter

• Mask

• Kernel

• All of the above

What is the difference between Convolution and Correlation

• image is pre-rotated by 180 degree for correlation

• image is pre-rotated by 180 degree for convolution

• image is pre-rotated by 90 degree for correlation

• image is pre-rotated by 90 degree for convolution

Convolution and Correlation are functions of

• Distance

• time

• intensity

• displacement

Which of the following involves Correlation

• Matching

• Key-points

• Blobs

• Deep Learning

he output of a smoothing, linear spatial filtering is a ____________ of

the pixels contained in the neighbourhood of the filter mask

• sum

• product

• mean

• None

Which term is used to indicate that pixels are multiplied by different

coefficients

• weighted average

• squared average

• spatial average

• none of the mentioned

The principle objective of Sharpening, to highlight transitions is

• Pixel density

• Composure

• Intensity

• Brightness

What does Image Differentiation enhance?

• Edges

• Pixel Density

• 
  Contours

• None of the mentioned

The requirements of the First Derivative of a digital function:

• Must be zero in areas of constant intensity

• Must be non-zero at the onset of an intensity step

• Must be non-zero along ramps

• All of the Mentioned

What is the Second Derivative of Image Sharpening called?

• Gaussian

• Laplacian

• Canny

• None of the mentioned