Abstract
An apple sorting system using neural networks was developed. The system determines three apple characteristics to inspect apple quality. They are surface colour grade, colour variation type and surface defects. They are judged by colour apple images taken with colour CCD cameras. The probabilistic neural network is used to determine its grade and the backpropagation networks are used for colour variation type and surface defects inspection. Throughput of 6 images per second are achieved.
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Nakata H, Kodaira K, Takamura M, “An Apple Sorting System Using Neural Networks”, SICE’91 Japan 611 /612 1991
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© 1992 Springer-Verlag London Limited
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Kodaira, K., Nakata, H., Takamura, M. (1992). An Apple Sorting System using Neural Network-Based on Image Processing. In: Taylor, J.G. (eds) Neural Network Applications. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2003-2_6
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DOI: https://doi.org/10.1007/978-1-4471-2003-2_6
Publisher Name: Springer, London
Print ISBN: 978-3-540-19772-0
Online ISBN: 978-1-4471-2003-2
eBook Packages: Springer Book Archive