DocumentCode :
2212048
Title :
Estimation of marbling score in live cattle based on dynamic ultrasound image using a neural network
Author :
Fukuda, Osamu ; Nabeoka, Natsuko ; Miyajima, Tsuneharu
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan
fYear :
2012
fDate :
11-13 April 2012
Firstpage :
276
Lastpage :
279
Abstract :
In the present paper, we propose a new method to estimate the beef marbling standard (BMS) number by dynamic ultrasound imaging of live beef cattle. The proposed method consists of four processes: time series texture analysis, extraction of dynamic features, principal component analysis, and estimation of BMS number by a neural network. Highly accurate estimation is expected by frequency analysis of time series texture features extracted from dynamic ultrasound imaging and averaging the texture features. In addition, a neural network model can flexibly represent a non-linear mapping relationship between image features and BMS number. The correlation coefficient between the actual BMS number and the BMS number estimated using dynamic image features by the leave-one-out method is r = 0.75(P <; 0.01), and the mean estimation error is 1.09. These results suggest that dynamic image features extracted from dynamic ultrasound images have the potential to accurately estimate the BMS number.
Keywords :
correlation methods; estimation theory; feature extraction; frequency-domain analysis; image texture; neural nets; principal component analysis; time series; ultrasonic imaging; BMS number estimation; PCA; beef marbling standard estimation; correlation coefficient; dynamic feature extraction; dynamic ultrasound imaging; frequency analysis; image features; leave-one-out method; live beef cattle; marbling score; mean estimation error; neural network; nonlinear mapping relationship; principal component analysis; time series texture analysis; Cows; Estimation; Feature extraction; Imaging; Neural networks; Principal component analysis; Ultrasonic imaging; beef marbling score; dynamic ultrasound imaging; neural network; texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location :
Vienna
ISSN :
2157-8672
Print_ISBN :
978-1-4577-2191-5
Type :
conf
Filename :
6208127
Link To Document :
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