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Proceedings Paper

Identification process of corn and barley kernel damages using neural image analysis
Author(s): K. Nowakowski; P. Boniecki; R. J. Tomczak; B. Raba
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Paper 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.

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090C (8 July 2011); doi: 10.1117/12.896664
Show Author Affiliations
K. Nowakowski, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
R. J. Tomczak, Poznan Univ. of Life Sciences (Poland)
B. Raba, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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