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A color-coded vision scheme for roboticsMost vision systems for robotic applications rely entirely on the extraction of information from gray-level images. Humans, however, regularly depend on color to discriminate between objects. Therefore, the inclusion of color in a robot vision system seems a natural extension of the existing gray-level capabilities. A method for robot object recognition using a color-coding classification scheme is discussed. The scheme is based on an algebraic system in which a two-dimensional color image is represented as a polynomial of two variables. The system is then used to find the color contour of objects. In a controlled environment, such as that of the in-orbit space station, a particular class of objects can thus be quickly recognized by its color.
Document ID
19910013472
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Johnson, Kelley Tina (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1991
Publication Information
Publication: The 1991 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
91N22785
Funding Number(s)
CONTRACT_GRANT: NAG5-1382
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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