Determining regions of interest in synthetic images
US7848567B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 2004 |
| Grant date | Dec 7, 2010 |
| Priority date | — |
| Expiry date | Jun 21, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An algorithm for finding regions of interest (ROI) in synthetic images based on an information driven approach in which sub-blocks of a set of synthetic image are analyzed for information content or compressibility based on textural and color features. A DCT may be used to analyze the textural features of a set of images and a color histogram may be used to analyze the color features of the set of images. Sub-blocks of low compressibility are grouped into ROIs using a type of morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. OCR text detection), the method of the present invention is generally applicable to arbitrary synthetic images. The present invention can be used with several other image applications, including Stained-Glass collages presentations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.