Most 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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Color-Coded Vision Scheme for Robotics


    Contributors:

    Publication date :

    1991


    Size :

    12 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision

    Shahnewaz, Ali / Pandey, Ajay K. | Springer Verlag | 2019


    Lisbon Robotics Cluster: Vision and Goals

    Lima, Pedro U. / Martins, André / Aníbal, Ana S. et al. | Springer Verlag | 2019


    Color coded trim-to-fit mat

    STROUD ANNETTE MARIE / MONDRAGÓN DINER | European Patent Office | 2020

    Free access

    COLOR CODED TRIM-TO-FIT MAT

    STROUD ANNETTE MARIE / MONDRAGÓN DINER | European Patent Office | 2020

    Free access

    COLOR CODED TRIM-TO-FIT MAT

    STROUD ANNETTE M / MONDRAGON DINER | European Patent Office | 2019

    Free access