Detection of faint perturbations of interest using statistical models of image texture
US8483433B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 17, 2010 |
| Grant date | Jul 9, 2013 |
| Priority date | — |
| Expiry date | Sep 29, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for detecting faint perturbations of interest in an image is described. The system includes a memory comprising the image, and a processor. The processor is configured to estimate a local mean and variance for each of a plurality of pixels in the image, analyze a local region of the image, an image mean, and an image variance using a filter bank, thereby generating a plurality of response vectors, determine a likelihood of a local perturbation in the image using a probability distribution based on the plurality of response vectors, and make a classification decision of the local perturbation. The probability distribution is calculated, for each of the plurality of response vectors, based on a response of each of the plurality of response vectors to the estimated local mean and variance for each of the plurality of pixels. Methods and machine-readable media are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.