Image processing using genetic mutation of neural network parameters
US5568590A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Dec 17, 1993 |
| Grant date | Oct 22, 1996 |
| Priority date | — |
| Expiry date | Dec 17, 2013 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of image processing using neural networks to control image processing elements. Neural network parameters are defined by genotypes consisting of network vectors. Genotypes may be selectively mutated and cross-bred to provide a mechanism for modifying the behavior of the neural networks, or phenotypes. Genetic modeling processes are used to perform such mutation and cross-over. User feedback concerning output images, is used to select particular genotypes for further mutation and exploration. Preconditioning is employed to extract structural information from source images prior to network processing. Genetic morphing and subnet fusion are also available, to provide additional variations on image processing operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.