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- W2012967045 abstract "A mechanism turned a vision camera around a fixed carrot taking 100 images of it. A 3D reconstruction finite element algorithm reproduced the volume using finite area triangles and morphological operations to optimize memory utilization. Volume from several carrots were calculated and correlated against real volume achieving a 98% success rate. Three images 120 degrees apart were acquired and the main features extracted. A neural network system was trained using the features, increasing the measuring speed and obtaining together with a regression algorithm an accuracy of 95% in predicting the real volume." @default.
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- W2012967045 date "1998-09-25" @default.
- W2012967045 modified "2023-09-25" @default.
- W2012967045 title "<title>Neural network predicts carrot volume with only three images</title>" @default.
- W2012967045 doi "https://doi.org/10.1117/12.323576" @default.
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