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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(More)
A method is presented to classify the percent intramuscular fat (%IMF) for beef cattle using ultrasound imaging. As the images captured tend to include a significant amount of noise a noise reduction algorithmwas used. The effectiveness of using filtered images to calculate texture measures for the classification and prediction of the %IMF is compared to(More)
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