Architecture of the knowledge based configuration system for image analysis 'CONNY'
| Autor: | Arnold Blömer, Claus-E. Liedtke |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Computer science
business.industry System testing Image processing computer.software_genre Machine learning Expert system Knowledge-based systems Automatic image annotation Digital image processing Data mining Artificial intelligence Explicit knowledge Knowledge-based configuration business computer |
| Zdroj: | ICPR (1) |
| DOI: | 10.1109/icpr.1992.201579 |
| Popis: | For successful image analysis it is necessary that the image analysis system be configured to meet the requirements of the specific task and the specific data material. This includes the selection of the operators and the adaptation of the free parameters. The system CONNY has been developed which performs this configuration process automatically based on a user-specified task definition and the knowledge of an image analysis expert. The expert's knowledge has been assessed, stored and used by employing different paradigms of explicit knowledge representation. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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