Valid Coin SegmentationFor this problem your code will need to create a mask which completely segments only the valid coins. Use the variable name validCoinMask.

The solutions to the previous assignments include a foreground mask with true pixel regions where any circular object is present $($testCoinMask$),$ and another coin face edge mask with true pixels only within the regions of valid coins $($faceEdgeMask$).$ Therefore, one approach to this task is to dilate the true pixel regions in faceEdgeMask to be greater than or equal to the size of the corresponding foreground regions in testCoinMask, and logically combine the result with testCoinMask to extract the valid coin regions. NOTE: Be careful not to dilate so far you overlap regions for blanks in the foreground mask. $($See the project reading for more details.$)$

As before, you will be assessed using a randomly chosen selection from the three test images, so it is a good idea to test your algorithm on each of them in MATLAB. Valid Coin Segmentation

For this problem your code will need to create a mask which completely segments only the valid coins. Use the variable name validCoinMask.

The solutions to the previous assignments include a foreground mask with true pixel regions where any circular object is present $($testCoinMask$),$ and another coin face edge

mask with true pixels only within the regions of valid coins $($faceEdgeMask$).$ Therefore, one approach to this task is to dilate the true pixel regions in faceEdgeMask to be greater

than or equal to the size of the corresponding foreground regions in testCoinMask, and logically combine the result with testCoinMask to extract the valid coin regions. NOTE:

Be careful not to dilate so far you overlap regions for blanks in the foreground mask. $($See the project reading for more details.$)$

As before, you will be assessed using a randomly chosen selection from the three test images, so it is a good idea to test your algorithm on each of them in MATLAB.