Title :
Data integration in multi-sensor based robotic workstations
Author :
Chen, Qin ; Luh, J.Y.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
A relaxation labeling algorithm is developed for image processing and object identification. The major advantage of this algorithm over the existing one is that the mathematic operation is simplified. The simplification eases the analysis of the convergence properties. Both the theoretical and application aspects of the proposed algorithm are investigated. The local convergence properties of a labeling process with n labels and m labels are established. The investigation of the interaction among the nodes in a multinode labeling process reveals some insight into the mathematical issues involved in the relaxation operations
Keywords :
engineering workstations; image recognition; robots; sensor fusion; data integration; image processing; local convergence properties; multinode labeling process; multisensor based robotic workstations; object identification; relaxation labeling algorithm; Convergence; Image analysis; Image processing; Intelligent robots; Intelligent sensors; Iterative algorithms; Labeling; Mathematics; Sensor systems; Workstations;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236925
