A large number of registration techniques rely on manually selected landmark points. A system based on neural principles has been developed to automatically extract landmark types and positional information from magnetic resonance images. A single self-organising map is used to develop the features (landmark types) so that the final landmarks represent statistically significant contour sections...

Four experiments examined 3- and 4-year-olds' ability to communicate about containment and proximity relations. One hundred twenty-eight children either described where a miniature mouse was hiding in a dollhouse or they searched for the mouse after the experimenter described where it was hiding. The mouse was always hidden with a small landmark that was either in or next to a large landmark. W...

An automatic mechanism for the selection of image subset of modern and historic images out of a landmark large image set collected from the internet is designed in this paper. This selection depends on the extraction of dominant features using Gabor filtering. These features are selected carefully from a preliminary image set and fed into a neural network as a training set. The mechanism collec...