Automatic design of morphological algorithms for machine vision
US7428337B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2003 |
| Grant date | Sep 23, 2008 |
| Priority date | — |
| Expiry date | May 8, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator/parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence/parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.