Methods and apparatus for classification of images using distribution maps
US6052483A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Feb 6, 1996 |
| Grant date | Apr 18, 2000 |
| Priority date | — |
| Expiry date | Feb 6, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image classifier receives input images and assigns each input image to one of a plurality of image classes. The image classifier includes plural class distribution maps, each based on a plurality of features evaluated on training images, and each representing those feature values that occur at least once among the training images belonging to the corresponding class. The image classifier further includes means for constructing a test map by evaluating the plurality of features on the input image. The image classifier further includes means for comparing the test map to the class distribution maps in order to identify which one of the class distribution maps has the least distance to the test map. At least one of the features is defined according to a rule that relates to the shapes of images of at least one image class. One advantageous method for evaluating features is carried out storing the input pattern, in a digital memory, as a point in a representational space. A digital data-processing device retrieves one or more line segments from a library of line segments constructed in the representational space, wherein each said line segment is subdivided into plural indexed sub-i…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.