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- W3034961808 abstract "This work proposes a non-destructive quality control for a pitting process of cherries. A system composed of a video camera and a light source records pictures of backlit cherries. The images processing in MATLAB environment provides the dynamic histograms of the pictures, which are analysed to state the presence of the pit. A feedforward artificial neural network was implemented and trained with the histograms obtained. The network developed allows a fast detection of stone fractions not visible by human inspection and the reduction of the accidental reject of properly manufactured products." @default.
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- W3034961808 date "2020-01-01" @default.
- W3034961808 modified "2023-10-18" @default.
- W3034961808 title "Image-based system and artificial neural network to automate a quality control system for cherries pitting process" @default.
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- W3034961808 doi "https://doi.org/10.1016/j.procir.2020.05.091" @default.
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