STUPIDSID
1(a)
Justify/ Contradict the following statements
i) K.L transform is also called as method of principal component analysis
ii) Entropy of an image is maximized by histogram equalization.
i) K.L transform is also called as method of principal component analysis
ii) Entropy of an image is maximized by histogram equalization.
10 M
1(a)(i)
Justify/Contradict the following statements
K.L. transform is also called as method of principle component analysis
K.L. transform is also called as method of principle component analysis
5 M
1(a)(ii)
Entropy of an image is maximized by histogram equalization.
5 M
1(b)
Compare: Dilation and Erosion
5 M
1(b)
Compare: Dilation and Erosion
5 M
1(c)
Explain deferment types of frames in video signal.
5 M
1(c)
Explain deferment types of frames in video signal.
5 M
2(a)
For following Digital image as shown in Fig(2), find i) Negative of the image
ii) Bit plane slicing
iii) Perform contrast modification as per the characteristics given in fig.1
iv) Draw histogram of new image
!mage
ii) Bit plane slicing
iii) Perform contrast modification as per the characteristics given in fig.1
iv) Draw histogram of new image
!mage
10 M
2(a)
For following Digital image as shown in Fig.(2), find(i) Negative of the image
ii) Bit plane slicing
iii) Perform contrast modification as per the characteristics given in fig 1
iv) Draw histogram of new image
!mage
ii) Bit plane slicing
iii) Perform contrast modification as per the characteristics given in fig 1
iv) Draw histogram of new image
!mage
10 M
2(b)
Explain dynamic range compression technique with application.
5 M
2(b)
Explain dynamic range compression techinque with application.
5 M
2(c)
Explain image deradiation model in detail.
5 M
2(c)
Explain image deradation model in detail.
5 M
3(a)
Write short no on; Wiener Filter
8 M
3(a)
Write short no on: Wiener Filter
8 M
3(b)
Find DFT of the following image.
!mage
!mage
6 M
3(b)
Find DFT of the following image
!mage
!mage
6 M
3(c)
Given set of points use Hough transform to join these points
A(1,4),
B(2,3),
C(3,1),
D(4,1), E(5,0)
A(1,4),
B(2,3),
C(3,1),
D(4,1), E(5,0)
6 M
3(c)
Given set of point use Hough transform of join these points
A(1,
4),
B (2,
3),
C(3,
1),
D (4,
1),
E (5,
0)
A(1,
4),
B (2,
3),
C(3,
1),
D (4,
1),
E (5,
0)
6 M
4(a)
Consider the following image
i) Perform Low Pass Filtering
ii) Perform Median Filtering
iii) Find High pass fitered output.
iv) compare result in (i) and (ii)
!mage
i) Perform Low Pass Filtering
ii) Perform Median Filtering
iii) Find High pass fitered output.
iv) compare result in (i) and (ii)
!mage
10 M
4(a)
Consider the following image
i) Perform Low Pass Filtering
ii) Perform Median Filtering
iii) Find High pass fitered output.
iv) compare result in (i) and (ii)
!mage
i) Perform Low Pass Filtering
ii) Perform Median Filtering
iii) Find High pass fitered output.
iv) compare result in (i) and (ii)
!mage
10 M
4(b)
What are the different motion estimation criteria for video signal. Explain Phase correlation method for motion estimation.
10 M
4(b)
What are the different motion estimation criteria for video signal. Explain Phase correlation method for motion estimation.
10 M
5(a)
Explain image enhancement in frequency domain in detail.
8 M
5(a)
Explain image enhancement in frequency domain in detail.
8 M
5(b)
The input image and structuring element is as shown in the figure. Perform region filling Operation.
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!mage
8 M
5(b)
The input image and structuring element is as shown in the figure. Perform region filling Operation
!mage
!mage
8 M
5(c)
Define edge in an image. Give different edge detection mask.
4 M
5(c)
Define edge in an image. Give different edge detection mask.
4 M
6(a)
Using Graph Theoretical apporach, find the edge corresponding to the minimum cost path
\(\begin{matrix} 1 & 2& 0\\ 2 & 6 & 4\\ 4& 3& 3 \end{matrix} \)/
\(\begin{matrix} 1 & 2& 0\\ 2 & 6 & 4\\ 4& 3& 3 \end{matrix} \)/
6 M
6(a)
Using Graph Theoretical approach, find the edge corresponding to the minimum cost path
\( \begin{matrix} 1 & 2& 0\\ 2 & 6& 4\\ 4& 3& 3 \end{matrix}\)/
\( \begin{matrix} 1 & 2& 0\\ 2 & 6& 4\\ 4& 3& 3 \end{matrix}\)/
6 M
6(b)
Segment the following image using region split and merge technique. Draw quad trce representation for the corresponding segmentation.
6 M
6(b)
Segment the following image using region split and merge technique. Draw quad tree representation for the corresponding segmentation.
!mage
!mage
6 M
6(c)
What is unitary transform.
4 M
6(c)
What is unitary transform.
4 M
6(d)
Explain in brief Hit or Miss Transform
4 M
6(d)
Explain in brief Hit or Miss Transform
4 M
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