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

K. Nowakowski; P. Boniecki; R. J. Tomczak; B. Raba

doi:10.1117/12.896664

8 July 2011 Identification process of corn and barley kernel damages using neural image analysis

K. Nowakowski, P. Boniecki, R. J. Tomczak, B. Raba

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80090C (2011) https://doi.org/10.1117/12.896664
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

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.

Citation Download Citation

K. Nowakowski, P. Boniecki, R. J. Tomczak, and B. Raba "Identification process of corn and barley kernel damages using neural image analysis", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090C (8 July 2011); https://doi.org/10.1117/12.896664

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