Determination of Meat Quality by Image Processing and Neural Network Techniques
Keyword(s):
We study the implementation of a meat-quality grading system, using the concept of the marbling score, and image processing, neural network techniques and multiple regression analysis. The marbling score is a measure of the distribution density of fat in the rib-eye region. We identify five features used for grading meat images. For the evaluation of the five features, we propose a method of image binarization using a three-layer neural network developed based on inputs given by a professional grader and a system of meat-quality grading based on the evaluation of three of five features with multiple regression analysis. Experimental results show that the system is effective.
2014 ◽
Vol 3
(22)
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pp. 2884-2899
Keyword(s):
2015 ◽
Vol 30
(1)
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pp. 64-77
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2018 ◽
Vol 18
(4)
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pp. 229-236
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2013 ◽
Vol 38
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pp. 161-169
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2013 ◽
Vol 13
(1)
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pp. 66-74
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