In this assignment you are required to implement one of the following using convolution. Methods are ordered from easiest the most difficult. I expect students expecting higher grades to implement later methods. Rules of the first homework applies to this one too. ● Apply Robert's cross. Then apply box blur (3x3) and then Robert's cross. Compare the images. ● Apply sharpen filter with different kernels, compare the results. • Implement Gaussian blur, experiment with different sigma values. • Using Sobel operator, create a system that will show gradient orientations and magnitudes. • Implement difference of Gaussians edge detector, experiment with different set of values. You have to write the program and submit your source code as well as a document which explains your method, compare different parameters and write your own observations. Include original and resultant images too.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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You have to write code c++
In this assignment you are required to implement one
of the following using convolution. Methods are
ordered from easiest the most difficult. I expect
students expecting higher grades to implement later
methods. Rules of the first homework applies to this
one too.
Apply Robert's cross. Then apply box blur (3x3) and
then Robert's cross. Compare the images.
●
Apply sharpen filter with different kernels, compare
the results.
●
• Implement Gaussian blur, experiment with different
sigma values.
• Using Sobel operator, create a system that will show
●
gradient orientations and magnitudes.
●
Implement difference of Gaussians edge detector,
experiment with different set of values.
You have to write the program and submit your source
code as well as a document which explains your
method, compare different parameters and write your
own observations. Include original and resultant
images too.
Transcribed Image Text:In this assignment you are required to implement one of the following using convolution. Methods are ordered from easiest the most difficult. I expect students expecting higher grades to implement later methods. Rules of the first homework applies to this one too. Apply Robert's cross. Then apply box blur (3x3) and then Robert's cross. Compare the images. ● Apply sharpen filter with different kernels, compare the results. ● • Implement Gaussian blur, experiment with different sigma values. • Using Sobel operator, create a system that will show ● gradient orientations and magnitudes. ● Implement difference of Gaussians edge detector, experiment with different set of values. You have to write the program and submit your source code as well as a document which explains your method, compare different parameters and write your own observations. Include original and resultant images too.
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