Systems and methods for real-time horizon detection in images
US9305214B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2013 |
| Grant date | Apr 5, 2016 |
| Priority date | — |
| Expiry date | Apr 17, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for detecting a horizon in an image with a plurality of pixels can include the step of blurring the image with a noise filter, then dividing the image into an M×N matrix of sub-blocks S. For each sub-block S, horizon features can be coarse-extracted by defining an r-dimensional vector having P feature values for each sub-block S and clustering each r-dimensional vectors into two clusters using a k-means statistical analysis. The corresponding sub-blocks S corresponding to the two clusters can be masked with a binary mask. The methods can further include the step of fine-extracting the horizon features at a pixel level for each sub-block Si, j and sub-block Si−1, j when the binary mask changes value from sub-block Si−1 j to said sub-block Si, j, for i=1 to M and j=1 to N.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.