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The first task will involve doing a little background reading on Dynamic Programming to get up to speed. The second task is to write the code:
Search Space Write a function which takes the two initial contours as inputs and returns an M N matrix containing the pixel intensities at each point in the search space. Hint: Since these points will not typically lie in the center of a pixel you may elect to select the nearest pixel in the image, or you may choose a more advanced scheme for some bonus marks.
Dynamic Programming Algorithm Write a function which takes the two initial contours and the image as parameters and returns the optimal contour. Note: This function will call the Search Space function above.
Finally you should present your results in a short report. The report must be no longer than 3 sides of A4 (not including diagrams, tables, gures or listings).
Here are some things that you could discuss in the report:
How does the algorithm scale with M? Try varying M over a sensible range, and use the tic toc function in Matlab to estimate the scaling. Does this agree with theory?
How robust is the solution to changes in ? You should initially test and report the results of your algorithm using = 0:5, but later you could report how the results changes when you vary it.
Make a console application to show different messages depending on the command line argument value. Use Select-case statements.(same to switch block)
Can you list out some of enhancements in Verilog 2001? In earlier version of Verilog, we use 'or' to specify more than one element in sensitivity list. In Veri
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