Supervised Classification of Early Perceptual Structure in Dot Patterns *

  • Mhran Tuceryan, Ani, . Jain
  • Published 1992
A supervised algorithm for computing perceptual groupings in dot patterns is presented. The algorithm uses shape features of the polygons in the Voronoi tessellation of the input pattern. The training patterns identified b y humans are used to obtain an initial noncontextual classification which is then refined b y a probabilistic relaxation labeling.