DocumentCode
2765067
Title
The Identification of Mechanical Damages of Kernels Basis on Neural Image Analysis
Author
Nowakowski, Krzysztof ; Boniecki, Piotr ; Dach, Jacek
Author_Institution
Inst. of Agric. Eng., Poznah Univ. of Life Sci., Poznan, Poland
fYear
2009
fDate
7-9 March 2009
Firstpage
412
Lastpage
415
Abstract
The aim of the study was to develop a neural model for the identification of mechanical damage in maize caryopses based on digital photographs. The author has selected a set of 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.
Keywords
image processing; multilayer perceptrons; neural nets; artificial neural network; corn kernels; digital photographs; kernels basis; maize caryopses; mechanical damages; multilayer perceptron; neural image analysis; Acoustic measurements; Artificial neural networks; Digital images; Humans; Image analysis; Impurities; Kernel; Temperature measurement; Testing; X-ray imaging; identifying mechanical damage of corn kernels; neural image analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Processing, 2009 International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-3565-4
Type
conf
DOI
10.1109/ICDIP.2009.78
Filename
5190565
Link To Document