Title :
An alternative approach to image labeling using neural networks
Author :
Jamison, T.A. ; Schalkoff, R.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
A solution of the image labeling problem using the emerging computational paradigm of neural nets is shown. An overview of neural network technology is provided and the labeling problem is formulated as a problem in symbolic constraint satisfaction. A neural network structure which embodies the labeling constraints is developed in detail. Experimental results and network convergence properties are analysed.<>
Keywords :
artificial intelligence; computerised pattern recognition; neural nets; computerised pattern recognition; image labeling; network convergence; neural networks; symbolic constraint satisfaction; Artificial neural networks; Biological neural networks; Biological system modeling; Biology computing; Computer networks; Concurrent computing; Distributed computing; Labeling; Neural networks; Roads;
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
0-8186-0847-1
DOI :
10.1109/SSST.1988.17022
