From this average the target image is set.

Similarly, an area of the binary target image is treated as a set of points.

A disk partitioning screen appears and the location for the target image is selected.

Then subjects viewed another 120 novel target images, and information from the earlier scans is used reconstruct them.

It then looks for similar properties in the target image to be identified.

Another is the target image, such as a second student's photograph.

In the simpler kind, each part of the target image is averaged down to a single color.

Each part of the target image is then replaced with one from the library where these colors are as similar as possible.

The simple way is to move the model in the target image and measure a similarity in each position.

Care must be taken to balance the color curves in the target image to that of the component tiles.