Method and system for identifying an image feature and method and system for determining an optimal color space for use therein
US6226399A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | May 27, 1999 |
| Grant date | May 1, 2001 |
| Priority date | — |
| Expiry date | May 27, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10024
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method and system are provided for identifying an image feature of an object. The system preferably includes a machine vision system for capturing an original color image of the object in a first color space defined by a first set of color axes to obtain a first set of image data. The first set of image data is transformed within the machine vision system to a second set of image data in an optimal color space having an optimal set of color axes which define an optimal direction wherein the amount of inter axis correlation of the second set of image data is minimized. The machine vision system then manipulates the second set of image data to identify the image feature. Color differences existing in the original color image are amplified and separation between chromatically different regions of the original color image are maximized in the optimal color space. Preferably, the optimal set of color axes are three orthogonal axes. The first set of image data is rotated to match the optimal direction. In this way, the first set of image data is reorganized along the optimal set of color axes. The machine vision system can also be utilized to capture a color image of an ideal object in…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.