This project was part of my university degree. The aims of this coursework were:

• Understand how an image is stored internally, and how to manipulate the image.
• Translate useful graphics algorithms into working code.
• Understand that graphics can be useful to users (in this case within the medical context).
• Work with a three-dimensional data set.
• Combine interaction with visual feedback.

Implement the following:

• Display a slider to allow the user to move through slices arbitrarily.
• Display front and side views in addition to the top view (with independent sliders for each view).
• Perform maximum intensity projection. Implement MIP for all three views: front view, side view and top view (it does not matter which direction you choose for the side view).
• Display thumbnail images for all slices of the data set (here I used the Nearest Neighbour algorithm).
• Allow the image to be resized(using Bilinear Interpolation).
• Perform histogram equalization on the data set (not on the images) to scale from the signed short int range to the unsigned byte range.