TY - JOUR
T1 - Comparison of models and visualization of total volatile basic nitrogen content in mutton using hyperspectral imaging and variable selection methods
AU - Qiu, Yuanyuan
AU - Zhu, Rongguang
AU - Fan, Zhongjian
AU - Yao, Xuedong
AU - Lewis, Elfed
N1 - Publisher Copyright:
© 2018, © 2018 Taylor & Francis.
PY - 2018/5/28
Y1 - 2018/5/28
N2 - Hyperspectral imaging combined with variable selection methods was used to perform the rapid and accurate detection and visualization of total volatile basic nitrogen content in mutton. For each sample, several spectra were extracted from the region of muscle pixels for modeling, and the model performance was improved and better than the model established with average spectrum extracting from each sample. By two steps of variable screening with competitive adaptive reweighted sampling and stepwise regression methods, the efficient dimensionality reduction of spectral data was achieved, and the important characteristic variables were selected. The nonlinear model significantly improved the model predictive capability, and the visualization distribution map based on the model was consistent with the actual change of meat spoilage.
AB - Hyperspectral imaging combined with variable selection methods was used to perform the rapid and accurate detection and visualization of total volatile basic nitrogen content in mutton. For each sample, several spectra were extracted from the region of muscle pixels for modeling, and the model performance was improved and better than the model established with average spectrum extracting from each sample. By two steps of variable screening with competitive adaptive reweighted sampling and stepwise regression methods, the efficient dimensionality reduction of spectral data was achieved, and the important characteristic variables were selected. The nonlinear model significantly improved the model predictive capability, and the visualization distribution map based on the model was consistent with the actual change of meat spoilage.
KW - Characteristic variable selection
KW - hyperspectral imaging
KW - rapid and accurate detection
KW - total volatile basic nitrogen
KW - visualization
UR - http://www.scopus.com/inward/record.url?scp=85045478111&partnerID=8YFLogxK
U2 - 10.1080/00387010.2018.1452268
DO - 10.1080/00387010.2018.1452268
M3 - Article
AN - SCOPUS:85045478111
SN - 0038-7010
VL - 51
SP - 226
EP - 235
JO - Spectroscopy Letters
JF - Spectroscopy Letters
IS - 5
ER -