Wavelet textural features from ultrasonic elastograms for meat quality prediction Academic Article

abstract

• Ultrasonic elastography was used for quantitative imaging of strain and elastic modulus distribution in meat samples. This article proposes the application of wavelet analysis for textural feature extraction from these images. In this article, the wavelet analysis is briefly introduced, the application of elastography for imaging meat muscles is reviewed, and a procedure of generating a wavelet transform of meat elastogram for the extraction of textural features is suggested. Wavelet analysis is then applied on beef samples for elastogram feature extraction compared to prior work based on Haralick's method. For beef tenderness prediction wavelet features produced significantly higher R 2 values (0.7-0.9) in linear statistical models than Haralick's features (0.1.0.8).

authors

• Lacey, Ronald
• Miller, Rhonda
• Moore, Lori

published proceedings

• TRANSACTIONS OF THE ASAE

author list (cited authors)

• Huang, Y., Lacey, R. E., Moore, L. L., Miller, R. K., Whittaker, A. D., & Ophir, J.

complete list of authors

• Huang, Y||Lacey, RE||Moore, LL||Miller, RK||Whittaker, AD||Ophir, J

publication date

• November 1997

published in

• Transactions of the ASABE  Journal

keywords

• Elastography
• Textural Feature
• Ultrasound
• Wavelet

start page

• 1741

end page

• 1748

volume

• 40

issue

• 6