Abstract
This paper presents an image recognition method to accurately estimate beef marbling standard (BMS) number of live cattles using ultrasound echo imaging. The method consists of the following three steps: (1) features extraction by texture analysis, (2) information compression by independent component analysis (ICA), and (3) estimation by neural network. Our previous study suggested that ICA can more effectively separate information based on BMS number than principal component analysis, a conventional method. In this study, to demonstrate the high effectiveness of ICA, the accuracy of BMS number estimation by the ICA-based method was compared with that by a livestock expert. The results showed that the accuracy of the ICA-based method is similar to that of the livestock expert, with similar estimated BMS numbers and errors.
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