The science behind Pixcavator

The fundamental idea of our image analysis method is very simple. The "objects" captured by Pixcavator are connected clusters of darker pixels surrounded by lighter backgound, or vice versa. For example, in the image below, gray cells are captured as "objects" because they are surrounded by black pixels. Once these objects are captured, their sizes are measured, their locations are found, and their shapes are evaluated. The results are presented to the user. See How To Use It. Pixcavator’s image analysis methods are based on our original research in computer vision and image analysis. The software is backed up by a thorough exposition of these methods in our wiki, Computer Vision Primer. It contains over 100 articles with 300 illustrations.