PE-I Digital Image Processing ISE-II

One of the following filters is nonlinear

• Gaussian Filter

• Median Filter

• Averaging Filter

• Laplacian Filter

The mask shown in the figure below belongs to which type of filter?

• Sharpening spatial filter

• Median filter

• Smoothing spatial filter

• Sharpening frequency filter

For Finding Horizontal Lines we use Mask values

• [ -1 -1 -1; 2 2 2 ; -1 -1 -1]

• [ 2 -1 -1; -1 2 -1 ; -1 -1 2]

• [ -1 2 -1; -1 2 -1 ; -1 2 -1]

• [ -1 -1 2; -1 2 -1 ; 2 -1 -1]

Laplacian is a

• First order derivative filter

• Second order derivative filter

To remove "salt-and-pepper" noise without blurring we use

• Max filter

• Min Filter

• Median Filter

• Average Filter

Both the -------- and -------- filters are used to enhance horizontal edges (or vertical if transposed).

• Sobel and Gaussian 

• Prewitt and Sobel 

• Prewitt and Laplacian 

• Sobel and Laplacian

Which of the following is the disadvantage of using smoothing filter?

• Improve sharp transitions

• Blur inner pixels 

• Blur edges 

• Remove Noise

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

• Filter

• Mask

• Kernel

• All mentioned

What is the output of a smoothing, linear spatial filter?

• Median of pixels 

• Maximum of pixels 

• Average of pixels

• Minimum of pixels

Pixels are allocated to categories according to the range of values in which a pixel lies is called

• Edge- based segmentation

• Region based segmentation

• Thresholding based segmentation

• None of mentioned