Data and Image analysis are among the fields that brought about Python’s popularity. There are
many tools that are available to accomplish these relating tasks. These tasks may be medical
imaging analysis and diagnostic tools. However, with out understanding of the fundamentals it
will be difficult to create meaningful programs. The goal of this program is for students to learn
and become familiar with Numpy and Pillow. In particular to writing programme that
manipulate data on the pixel level without heavy reliant packages. You are expected to
independently learn how to use the few functions from Pillow.
Read the entire Assignment and visit tutorial links provided before attempting the
assignment.
Your program will accept a JPEG image of any size for manipulation based on user selection and
input. Provide user with options with what to do with the images: Mirror/reflection, threshold,
saving file. Programme run continuously until user quit with ‘q’
-Have your program read an image (have it hard coded to ‘testimage.jpg’ which is in the same
directory as the code).
!n: for your own testing (print out the array to see)
-display the image along with it’s width, height, and mode
-turn the image into grayscale using function from Pillow.
!n: for your own testing (print out the array to see)
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