سال انتشار:

2021

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عنوان انگلیسی مقاله:

Computer vision based food grain classification: A comprehensive survey

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ترجمه فارسی عنوان مقاله:

طبقه بندی دانه های غذایی مبتنی بر بینایی رایانه ای: یک مرور جامع

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منبع:

Sciencedirect - Elsevier - Computers and Electronics in Agriculture, 187 (2021) 106287: doi:10:1016/j:compag:2021:106287

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نویسنده:

Henry O. Velesaca

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چکیده انگلیسی:

This manuscript presents a comprehensive survey on recent computer vision based food grain classification techniques. It includes state-of-the-art approaches intended for different grain varieties. The approaches pro- posed in the literature are analyzed according to the processing stages considered in the classification pipeline, making it easier to identify common techniques and comparisons. Additionally, the type of images considered by each approach (i.e., images from the: visible, infrared, multispectral, hyperspectral bands) together with the strategy used to generate ground truth data (i.e., real and synthetic images) are reviewed. Finally, conclusions highlighting future needs and challenges are presented.
Keywords: Computer vision approaches | Quality inspection | Food grain identification | Machine vision

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قیمت: رایگان

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توضیحات اضافی:

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