STUPIDSID
1(1)
Justify/Contradict the following statement.
K.L. Transform is called PCA.
K.L. Transform is called PCA.
5 M
1(2)
Continuous image histogram can be perfectly equalized but it may not be so for digital image.
5 M
1(3)
Laplacian is good edge detector.
5 M
1(4)
Mixed Adjutancy is introduced to eliminate the ambiguities that often arise when 8 adjacencyis used.
5 M
2(a)
Write difference between: Histogram Equalization and Contrast stretching.
6 M
2(b)
Discuss RGB and HSI color models.
6 M
2(c)
Given A and B. Modify histogram of A as given by histogram of B
| Image A | Grey level | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| No.of pixel | 750 | 1023 | 850 | 656 | 329 | 245 | 122 | 81 |
| Image B | Grey level | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| No.of pixel | 0 | 0 | 0 | 614 | 819 | 1230 | 819 | 614 |
8 M
3(a)
Using Graph Theoretical approach, find the edge corresponding to the minimum cost path
\begin{matrix} 5 &6 & 7\\ 3& 4 &2 \\ 0 & 1 & 7 \end{matrix}
\begin{matrix} 5 &6 & 7\\ 3& 4 &2 \\ 0 & 1 & 7 \end{matrix}
10 M
3(b)
Find DCT of the folllowing image
| 2 | 4 | 4 | 2 |
| 4 | 6 | 8 | 3 |
| 2 | 8 | 10 | 4 |
| 3 | 8 | 6 | 2 |
10 M
4(a)
Given different edge detection masks along with the values.
5 M
4(b)
Explain bit plane Slicing with application.
5 M
4(c)
Given a following image segment, use the hit of miss transform to find the top edge of the square.
Use two structuring elements shown below:
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Use two structuring elements shown below:
|
B1= |
|
|
B2= |
|
10 M
5(a)
Show that : Original image-LPF image=HPF image
6 M
5(b)
Explain Image Restoration model.
7 M
5(c)
Perform opening and closing operation on the following image. Use structuring. Element
| 1 | 1 | 1 |
| 1 | 0 | 0 | 0 | 0 |
| 0 | 1 | 0 | 0 | 0 |
| 0 | 0 | 1 | 0 | 0 |
| 0 | 0 | 0 | 1 | 0 |
| 0 | 0 | 0 | 0 | 1 |
7 M
Write short note on any two of the following
6(a)
Image Enhancement in Frequency domain
7 M
6(b)
Weiner Filter
7 M
6(c)
Exhaustive block matching Algoritham
7 M
More question papers from Image & Video Processing