Boundary identification and characterization through density differencing
US6697497B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 6, 1999 |
| Grant date | Feb 24, 2004 |
| Priority date | — |
| Expiry date | Dec 6, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for identifying and characterizing boundaries in digital images and other digital data sets. At least two points within a digital image are selected. Clusters of sample points around the points are chosen. A pixel value histogram is generated for each sample point cluster. These histograms define frequency functions. The distance between the frequency functions, called a “density distance” is calculated and analyzed. The nature of the density distance is then used to determine if the two areas are relatively uniform, or if they indicate a presence of a boundary. To further refine the procedure, the method may be applied iteratively by modifying cluster variances, sizes, and distributions, and then reanalyzing the frequency functions generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.