کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
225327 464488 2006 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Learning techniques used in computer vision for food quality evaluation: a review
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Learning techniques used in computer vision for food quality evaluation: a review
چکیده انگلیسی

Learning techniques have been applied increasingly for food quality evaluation using computer vision in recent years. This paper reviews recent advances in learning techniques for food quality evaluation using computer vision, which include artificial neural network, statistical learning, fuzzy logic, genetic algorithm, and decision tree. Artificial neural network (ANN) and statistical learning (SL) remain the primary learning methods in the field of computer vision for food quality evaluation. Among the applications of learning algorithms in computer vision for food quality evaluation, most of them are for classification and prediction, however, there are also some for image segmentation and feature selection. In this paper, the promise of learning techniques for food quality evaluation using computer vision is demonstrated, and some issues which need to be resolved or investigated further to expedite the application of learning algorithms are also discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Food Engineering - Volume 72, Issue 1, January 2006, Pages 39–55
نویسندگان
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