Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meat

C Wang, S Wang, X He, L Wu, Y Li, J Guo - Meat Science, 2020 - Elsevier
The feasibility of combining spectral and textural information from hyperspectral imaging to
improve the prediction of the C16: 0 and C18: 1 n9 contents for lamb was explored. 29 and …

Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression

M Kamruzzaman, G ElMasry, DW Sun… - Innovative Food Science & …, 2012 - Elsevier
The main goal of this study was to investigate the potential of hyperspectral imaging in the
near-infrared (NIR) range of 900–1700nm for non-destructive prediction of chemical …

Prediction of monounsaturated and polyunsaturated fatty acids of various processed pork meats using improved hyperspectral imaging technique

J Ma, DW Sun - Food Chemistry, 2020 - Elsevier
Freezing, heating, and pickling are common processes for pork meats. Unsaturated fatty
acids including monounsaturated fatty acids and polyunsaturated fatty acids are …

Combination of spectra and texture data of hyperspectral imaging for prediction of pH in salted meat

D Liu, H Pu, DW Sun, L Wang, XA Zeng - Food chemistry, 2014 - Elsevier
This study was carried out to investigate the feasibility of combining spectral with texture
features in order to improve pH prediction for salted pork. Average spectra were extracted …

Hierarchical variable selection for predicting chemical constituents in lamb meats using hyperspectral imaging

H Pu, DW Sun, J Ma, D Liu, M Kamruzzaman - Journal of Food Engineering, 2014 - Elsevier
Hierarchical variable selection method (UVE–SPA–CSA) based on uninformative variable
elimination (UVE), successive projections algorithm (SPA) and clonal selection algorithm …

Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with …

W Cheng, DW Sun, H Pu, Q Wei - Food Chemistry, 2017 - Elsevier
The feasibility of hyperspectral imaging (HSI)(400–1000 nm) for tracing the chemical
spoilage extent of the raw meat used for two kinds of processed meats was investigated …

Application of hyperspectral imaging for characterization of intramuscular fat distribution in beef

S Lohumi, S Lee, H Lee, MS Kim, WH Lee… - Infrared Physics & …, 2016 - Elsevier
In this study, a hyperspectral imaging system in the spectral region of 400–1000 nm was
used for visualization and determination of intramuscular fat concentration in beef samples …

Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis

M Kamruzzaman, G ElMasry, DW Sun, P Allen - Analytica Chimica Acta, 2012 - Elsevier
The goal of this study was to explore the potential of near-infrared (NIR) hyperspectral
imaging in combination with multivariate analysis for the prediction of some quality attributes …

Predicting intramuscular fat content variations in boiled pork muscles by hyperspectral imaging using a novel spectral pre-processing technique

J Ma, H Pu, DW Sun - Lwt, 2018 - Elsevier
For better predicting intramuscular fat contents in pork muscles using hyperspectral imaging,
a novel correlation optimised warping (COW) technique was employed with the first …

Integration of spectral and textural data for enhancing hyperspectral prediction of K value in pork meat

W Cheng, DW Sun, H Pu, Y Liu - LWT-Food Science and Technology, 2016 - Elsevier
K value is an important freshness indicator of meat. This study investigated the integration of
spectral and textural data for enhancing the hyperspectral prediction ability of K value in …