用超声成像预测肉牛的质量指标

2009 IEEE Symposium on Computational Intelligence for Image Processing Pub Date : 2009-05-15 DOI:10.1109/CIIP.2009.4937887

W. Harron, R. Dony

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引用次数: 8

摘要

提出了一种利用不同的分类网络确定肉牛两种质量指标的方法。该方法包括计算肉牛超声图像的纹理特征，然后预测与肉牛相关的肌肉内脂肪(IMF)的最终百分比和大理石纹等级。这种方法可以用于养牛业，以提高现有的育种技术。

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Predicting quality measures in beef cattle using ultrasound imaging

A method of determining two quality measures of beef cattle using different classification networks is presented. The method involves calculating texture features from ultrasound images of the beef cattle and then predicting the final percentage intramuscular fat (IMF) and marbling grades associated with the beef cattle. This method can be used in the cattle industry to enhance current breeding techniques.

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来源期刊

2009 IEEE Symposium on Computational Intelligence for Image Processing

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