Supervised classification of early perceptual structure in dot patterns

Mihran Tuceryan, Anil K. Jain, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 noncontextual classification which is then refined by a probabilistic relaxation labeling.

Original languageEnglish (US)
Title of host publicationConference B
Subtitle of host publicationPattern Recognition Methodology and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-91
Number of pages4
ISBN (Print)0818629150
DOIs
StatePublished - 1992
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: Aug 30 1992Sep 3 1992

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Other

Other11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/TerritoryNetherlands
CityThe Hague
Period8/30/929/3/92

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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