Title :
Predicting quality measures in beef cattle using ultrasound imaging
Author :
Harron, Wilson ; Dony, Robert
fDate :
March 30 2009-April 2 2009
Abstract :
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.
Keywords :
food products; image classification; image texture; ultrasonic imaging; beef cattle; breeding; classification networks; intramuscular fat; marbling grades; quality measures; texture features; ultrasound imaging; Animals; Area measurement; Chemical processes; Cows; Image texture; Petroleum; Prediction methods; Skin; Ultrasonic imaging; Ultrasonic variables measurement;
Conference_Titel :
Computational Intelligence for Image Processing, 2009. CIIP '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2760-4
DOI :
10.1109/CIIP.2009.4937887
