Mask
Example 2: Masking images This example is also available on YouTube. Introduction The background of medical images is black for most cases. In case an image is inverted or window/level values are adapted, these black pixels outside clinical relevant pixels might become very bright or even white.
Being in a dark room using a large screen, the user might be blended by these large white regions.
Image masking is a very good way to select a defined region where image processing shall be applied.
