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Authors: Sofia Marino ; Pierre Beauseroy and André Smolarz

Affiliation: Institut Charles Delaunay/M2S, FRE 2019, Université de Technologie de Troyes, 12, rue Marie Curie CS 42060 - 10004, Troyes Cedex, France

ISBN: 978-989-758-351-3

Keyword(s): Deep Learning, Potato Blemishes, Classification, Localization, Autoencoder, SVM.

Abstract: In this paper we address the problem of potato blemish classification and localization. A large database with multiple varieties was created containing 6 classes, i.e., healthy, damaged, greening, black dot, common scab and black scurf. A Convolutional Neural Network was trained to classify face potato images and was also used as a filter to select faces where more analysis was required. Then, a combination of autoencoder and SVMs was applied on the selected images to detect damaged and greening defects in a patch-wise manner. The localization results were used to classify the potato according to the severity of the blemish. A final global evaluation of the potato was done where four face images per potato were considered to characterize the entire tuber. Experimental results show a face-wise average precision of 95% and average recall of 93%. For damaged and greening patch-wise localization, we achieve a False Positive Rate of 4.2% and 5.5% and a False Negative Rate of 14.2% and 28.1 % respectively. Concerning the final potato-wise classification, we achieved in a test dataset an average precision of 92% and average recall of 91%. (More)

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Paper citation in several formats:
Marino, S.; Beauseroy, P. and Smolarz, A. (2019). Deep Learning-based Method for Classifying and Localizing Potato Blemishes.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 107-117. DOI: 10.5220/0007350101070117

@conference{icpram19,
author={Sofia Marino. and Pierre Beauseroy. and André Smolarz.},
title={Deep Learning-based Method for Classifying and Localizing Potato Blemishes},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={107-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007350101070117},
isbn={978-989-758-351-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deep Learning-based Method for Classifying and Localizing Potato Blemishes
SN - 978-989-758-351-3
AU - Marino, S.
AU - Beauseroy, P.
AU - Smolarz, A.
PY - 2019
SP - 107
EP - 117
DO - 10.5220/0007350101070117

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