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Matlab & Mathematica

Load the first image and then allow the user to select two 75 pixel x 75 pixel regions of interest Process the regions of interest for the first image using an optimized speckle contrast equation that takes the standard deviation of all of the pixels and divides them by the mean of all of the pixel.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Your assignment: Write a single MATLAB .m file that does the following:

  • Load the first image and then allow the user to select two 75 pixel x 75 pixel regions of interest, similar to the figure

  • Process the regions of interest for the first image using an optimized speckle contrast equation that takes the standard deviation of all of the pixels and divides them by the mean of all of the pixels

 

  • Using the same selected regions of interest, process the rest of the images for speckle contrast.

 

  • Create a time vector given the images were acquired at 30 frames per

 

  • Run the signals through a 5 Hz low pass filter that does not change the

 

  • Remove the DC value of the speckle contrast

 

  • Plot the results from steps 3-6 in a figure similar to the one

                                          

  • Using fprintf, explain in the Command Window why the signals appear “upside ”

 

  • Using fprintf, write in the Command Window how you could additionally improve the speckle contrast waveform based on what you have learned in class.

 

  • Use the Fourier transform to calculate the heart rate based on the filtered

 

  • Output the heart rate into the Command Window using fprintf. Does the heart rate seem reasonable?

  • Run a 2D Fourier transform on the first image and output the results in a

 

  • Run a 2D Fourier transform on the first image repeated three times (see below) and output the results in a

                                                                                               

  • Using fprintf, explain the results from steps 12 and 13.

 

Grading: You will be assessed on 1) accuracy, 2) commenting, and 3) presentation of the data in the Command Window and the Figure window – put some thought into the layout and presentation of the outputs to the Command Window and Figure window. Accuracy is the most important criterion of the three.

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