A constraint propagation neural network for Huffman-Clowes scene labeling

Chen Kuo Tsao*, Wei Chung Lin

*Corresponding author for this work

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

2 Scopus citations

Abstract

A four-layered constraint satisfaction neural network for performing Huffman-Clowes scene labeling is proposed. Given a line drawing, the network establishes a consistent labeling for all the edges or detects that it is physically unrealizable. The experimental results show that this approach exploits the parallel architecture inherent in the network and is faster than the conventional algorithmic method.

Original languageEnglish (US)
Title of host publicationIJCNN. International Joint Conference on Neural Networks
PublisherPubl by IEEE
Pages955-963
Number of pages9
StatePublished - Dec 1 1990
Event1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA
Duration: Jun 17 1990Jun 21 1990

Other

Other1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
CitySan Diego, CA, USA
Period6/17/906/21/90

ASJC Scopus subject areas

  • Engineering(all)

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