Title :
Supervised classification of early perceptual structure in dot patterns
Author :
Tuceryan, Mhran ; Jain, Anil K. ; Ahuja, Narendrn
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
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 by humans are used to obtain an initial nocontextual classification which is then refined by a probabilistic relaxation labeling
Keywords :
computational geometry; feature extraction; image recognition; learning systems; probability; Voronoi tessellation; dot patterns; early perceptual structure; nocontextual classification; pattern recognition; polygons; probabilistic relaxation labeling; shape feature extraction; supervised classification; Computer science; Feature extraction; Humans; Labeling; Phase measurement; Shape; Tree graphs; US Department of Transportation;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201728
