Camouflaged object segmentation method with distraction mining
US11816843B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Jun 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30181
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.