Quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method
US11651481B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 28, 2020 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Oct 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30164
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method, comprising: using three cameras having different wavebands to obtain multispectral weld pool images, and respectively performing pre-processing and edge extraction on the weld pool images having the different wavebands obtained at a same moment by the three cameras; establishing a quaternion-based multispectral weld pool image edge model; extracting low-frequency features after a quaternion discrete cosine transform; using a quaternion-based multi-degree-of-freedom neuron network to perform classification, training and recognition on edge features of the multispectral weld pool images. Compared to traditional means, the present invention has multiple recognition information sources, strong anti-interference capabilities and high recognition accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.