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Given the following image,

1

2

1

1

2

0

0

1

5

1

0

1

1

6

7

6

1

2

(a)   Draw the histogram of the original image (8 + 2 marks)

(b)   Compute the equalized image with eight possible gray levels. Show each step carefully.

-          Draw the histogram of the equalized image. (8 + 4 + 2)

-          Show the equalized image.  (6 marks)

Question The following figure shows

(a) a 3-bit image of size 5-by-5 image in the square, with x and y coordinates specified,

(b) a Laplacian filter

                                                                                              Laplacian filter

y\x

0

1

2

3

4

0

3

7

6

2

0

1

2

4

6

1

1

2

4

7

2

5

4

3

3

0

6

2

1

4

5

7

5

1

2

Compute the following:

(a) The output of correlation of h=[1 1 0] and the first row. Assume the first row as 1-D image.

(b) The output of convolution of h=[1 1 0] at (0,0). Assume the first row as 1-D image.

(c) The output of a 3 × 3 mean filter at (2,2).

(d) The output of a 3 × 3 median filter at (2,2).

(e) The output of the 3 × 3 Laplacian filter shown above at (2,2).

Question 

a) Read the 'Cameraman.tif'  image file into MATLAB and then display the image in a MATLAB figure window. 

b) Apply a 3-by-3  average filter (A) in spatial domain on the original image and then display the filtered image.

c) Apply a 3-by-3 Laplacian filter (B) in spatial domain on the original image and then display the filtered image.

d) Based on the output images obtained from the above two filters, what you can deduce about the function for the two filters: (A) and  (B).

e) Write the sequence of Matlab commands that can be applied to the original image and the results from (b) to implement the 'Unsharp Masking'. What  you can deduce about the function of this process?

MATLAB, Engineering

  • Category:- MATLAB
  • Reference No.:- M9575144

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