Observing the light scattered back from an illuminated surface is a fast and non-contact method to characterize surface microtopography. It is very largely applied in semiconductor industry by using goniometers. This paper deals with surface microtopography identification based on angle resolved light scatter measurements using neural pattern recognition methods and a very fast-calibrated scatter sensor for the purpose of automated surface inspection in precision engineering.
Index Terms:
light scattering, ARS measurements, surface microtopography identification, neural networks
Citation:
T. Rinder, H. Rothe, "Surface Identification Using Angle Resolved Light Scatter Measurements," ijcnn, vol. 6, pp.6067, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000