Identification process of corn and barley kernel damages using neural image analysis

Autor: Nowakowski, K., Boniecki, P., Tomczak, R. J., Raba, B.
Zdroj: Proceedings of SPIE; April 2011, Vol. 8009 Issue: 1 p80090C-80090C-5, 720816p
Abstrakt: The subject of the study was to develop a neural model for the identification of mechanical damage in grain caryopses based on digital photographs. The authors has selected a set of universal features that distinguish between damaged and healthy caryopses. The study has produced an artificial neural network of a multilayer perceptron type whose identification capacity approximates that of a human.
Databáze: Supplemental Index