ANN-implemented robust vision model

Chungte Teng; Panos A. Ligomenides

doi:10.1117/12.25200

1 February 1991 ANN-implemented robust vision model

Chungte Teng, Panos A. Ligomenides

Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25200
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

A robust vision model has been developed and implemented with a self-organizing/unsupervised artificial neural network (ANN) classifier-KART which is a novel hybrid model of a modified Kohonen''s feature map and the Carpenter/Grossberg''s ART architecture. The six moment invariants have been mapped onto a 7-dimensional unit hypersphere and have been applied to the KART classifier. In this paper the KART model will be presented. The non-adaptive neural implementations on the image processing and the moment invariant feature extraction will be discussed. In addition the simulation results that illustrate the capabilities of this model will also be provided. 1.

Citation Download Citation

Chungte Teng and Panos A. Ligomenides "ANN-implemented robust vision model", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25200

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