Image texture segmentation using polar S-transform and principal component analysis
US7259767B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2005 |
| Grant date | Aug 21, 2007 |
| Priority date | — |
| Expiry date | Feb 16, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to a method and system for segmenting texture of multi-dimensional data indicative of a characteristic of an object. Received multi-dimensional data are transformed into second multi-dimensional data within a Stockwell domain based upon a polar S-transform of the multi-dimensional data. Principal component analysis is then applied to the second multi-dimensional data for generating texture data characterizing texture around each data point of the multi-dimensional data. Using a classification process the data points of the multi-dimensional data are partitioned into clusters based on the texture data. Finally, a texture map is produced based on the partitioned data points. The present invention provides image texture segmentation based on the polar S-transform having substantially reduced redundancy while keeping maximal data variation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.