Ambiguity reduction by relaxation labeling
| Autor: | Qin Chen, J.Y.S. Luh |
|---|---|
| Rok vydání: | 1994 |
| Předmět: |
Artificial neural network
Computer science media_common.quotation_subject Image processing Ambiguity Reduction (complexity) Artificial Intelligence Signal Processing Pattern recognition (psychology) Node (circuits) Computer Vision and Pattern Recognition Relaxation (approximation) Algorithm Software media_common |
| Zdroj: | Pattern Recognition. 27:165-180 |
| ISSN: | 0031-3203 |
| DOI: | 10.1016/0031-3203(94)90025-6 |
| Popis: | A new relaxation labeling algorithm for a general n -node/ m -label system is developed and its theoretical as well as application aspects are analyzed. The convergence properties of the new relaxation algorithm are presented. Physical interpretations of the mathematical terms are discussed. Finally, an experiment of applying the new relaxation labeling algorithm to perform an object identification task in an intelligent robotic system with two cameras, is described. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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