Using self-organizing maps adaptive resonance theory (CARTMAP) for manufacturing feature recognition

Jason S. Yu; Cihan H. Dagli

doi:10.1117/12.160316

25 October 1993 Using self-organizing maps adaptive resonance theory (CARTMAP) for manufacturing feature recognition

Jason S. Yu, Cihan H. Dagli

Proceedings Volume 1959, Optical Pattern Recognition IV; (1993) https://doi.org/10.1117/12.160316
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The invariant image preprocessing of moment invariants generates an invariant representation of object features which are insensitive to position, orientation, size, illusion, and contrast change. In this study ARTMAP is used for 3-D object recognition of manufacturing parts through these invariant characteristics. The analog of moment invariants created through the image preprocessing is interpreted by a binary code which is used to predict the manufacturing part through ARTMAP.

Citation Download Citation

Jason S. Yu and Cihan H. Dagli "Using self-organizing maps adaptive resonance theory (CARTMAP) for manufacturing feature recognition", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160316

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