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 language | English (US) |
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Title of host publication | IJCNN. International Joint Conference on Neural Networks |
Publisher | Publ by IEEE |
Pages | 955-963 |
Number of pages | 9 |
State | Published - Dec 1 1990 |
Event | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA Duration: Jun 17 1990 → Jun 21 1990 |
Other
Other | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) |
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City | San Diego, CA, USA |
Period | 6/17/90 → 6/21/90 |
ASJC Scopus subject areas
- General Engineering