The science behind Pixcavator

Pixcavator’s image analysis methods are based on a rock solid mathematics. This mathematics has been developed in the last 100 years but only recently its methods became useful in practical applications. This breakthrough was made possible by Dr. Saveliev's research in computer vision and image analysis.

The underlying idea is very simple. The "objects" captured by the software are connected clusters of darker pixels surrounded by lighter background, or vice versa. For example, in the image below, the gray cells are captured as "objects" because they are surrounded by black pixels.