Computer Vision Detection of Salmon Muscle Gaping Using Convolutional Neural Network Features

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Computer Vision Detection of Salmon Muscle Gaping Using Convolutional Neural Network Features

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wetenschappelijk artikel

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наукова стаття, опублікована в липні 2017

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Computer Vision Detection of S ...... tional Neural Network Features

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Computer Vision Detection of S ...... tional Neural Network Features

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Computer Vision Detection of S ...... tional Neural Network Features

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Computer Vision Detection of S ...... tional Neural Network Features

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Computer Vision Detection of S ...... tional Neural Network Features

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Computer Vision Detection of S ...... tional Neural Network Features

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P1476

Computer Vision Detection of S ...... tional Neural Network Features

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P2093

Da-Wen Sun

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Jun-Li Xu

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P2860

Deep learning

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Emerging techniques for assisting and accelerating food freezing processes: A review of recent research progresses.

Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams.

Rapid differentiation of Ghana cocoa beans by FT-NIR spectroscopy coupled with multivariate classification.

Quantification of gaping, bruising, and blood spots in salmon fillets using image analysis.

Rapid detection of frozen pork quality without thawing by Vis-NIR hyperspectral imaging technique.

Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis.

Automatic segmentation of beef longissimus dorsi muscle and marbling by an adaptable algorithm.

P2888

s12161-017-0957-4

P304

34-47

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P31

scholarly article

P356

10.1007/S12161-017-0957-4

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-07-06T00:00:00Z

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P921

convolutional neural network

computer vision